{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Last</th>\n",
       "      <th>Close</th>\n",
       "      <th>Total Trade Quantity</th>\n",
       "      <th>Turnover (Lacs)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>1266.95</td>\n",
       "      <td>1267.9</td>\n",
       "      <td>1260.00</td>\n",
       "      <td>1262.30</td>\n",
       "      <td>1264.15</td>\n",
       "      <td>254790.0</td>\n",
       "      <td>3220.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2013-01-02</td>\n",
       "      <td>1267.00</td>\n",
       "      <td>1272.4</td>\n",
       "      <td>1255.55</td>\n",
       "      <td>1262.95</td>\n",
       "      <td>1263.30</td>\n",
       "      <td>940123.0</td>\n",
       "      <td>11885.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013-01-03</td>\n",
       "      <td>1265.00</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>1259.95</td>\n",
       "      <td>1282.90</td>\n",
       "      <td>1280.60</td>\n",
       "      <td>1317565.0</td>\n",
       "      <td>16821.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013-01-04</td>\n",
       "      <td>1285.00</td>\n",
       "      <td>1301.0</td>\n",
       "      <td>1280.90</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>1299.20</td>\n",
       "      <td>2614380.0</td>\n",
       "      <td>33794.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013-01-07</td>\n",
       "      <td>1300.00</td>\n",
       "      <td>1304.0</td>\n",
       "      <td>1290.25</td>\n",
       "      <td>1295.00</td>\n",
       "      <td>1294.85</td>\n",
       "      <td>910376.0</td>\n",
       "      <td>11799.61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date     Open    High      Low     Last    Close  \\\n",
       "0  2013-01-01  1266.95  1267.9  1260.00  1262.30  1264.15   \n",
       "1  2013-01-02  1267.00  1272.4  1255.55  1262.95  1263.30   \n",
       "2  2013-01-03  1265.00  1284.0  1259.95  1282.90  1280.60   \n",
       "3  2013-01-04  1285.00  1301.0  1280.90  1299.00  1299.20   \n",
       "4  2013-01-07  1300.00  1304.0  1290.25  1295.00  1294.85   \n",
       "\n",
       "   Total Trade Quantity  Turnover (Lacs)  \n",
       "0              254790.0          3220.75  \n",
       "1              940123.0         11885.37  \n",
       "2             1317565.0         16821.01  \n",
       "3             2614380.0         33794.17  \n",
       "4              910376.0         11799.61  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd \n",
    "\n",
    "df = pd.read_csv('tcs_stock_2018-05-26.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Last</th>\n",
       "      <th>Close</th>\n",
       "      <th>Total Trade Quantity</th>\n",
       "      <th>Turnover (Lacs)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-01-01</th>\n",
       "      <td>1266.95</td>\n",
       "      <td>1267.9</td>\n",
       "      <td>1260.00</td>\n",
       "      <td>1262.30</td>\n",
       "      <td>1264.15</td>\n",
       "      <td>254790.0</td>\n",
       "      <td>3220.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-02</th>\n",
       "      <td>1267.00</td>\n",
       "      <td>1272.4</td>\n",
       "      <td>1255.55</td>\n",
       "      <td>1262.95</td>\n",
       "      <td>1263.30</td>\n",
       "      <td>940123.0</td>\n",
       "      <td>11885.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-03</th>\n",
       "      <td>1265.00</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>1259.95</td>\n",
       "      <td>1282.90</td>\n",
       "      <td>1280.60</td>\n",
       "      <td>1317565.0</td>\n",
       "      <td>16821.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-04</th>\n",
       "      <td>1285.00</td>\n",
       "      <td>1301.0</td>\n",
       "      <td>1280.90</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>1299.20</td>\n",
       "      <td>2614380.0</td>\n",
       "      <td>33794.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-07</th>\n",
       "      <td>1300.00</td>\n",
       "      <td>1304.0</td>\n",
       "      <td>1290.25</td>\n",
       "      <td>1295.00</td>\n",
       "      <td>1294.85</td>\n",
       "      <td>910376.0</td>\n",
       "      <td>11799.61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open    High      Low     Last    Close  Total Trade Quantity  \\\n",
       "Date                                                                           \n",
       "2013-01-01  1266.95  1267.9  1260.00  1262.30  1264.15              254790.0   \n",
       "2013-01-02  1267.00  1272.4  1255.55  1262.95  1263.30              940123.0   \n",
       "2013-01-03  1265.00  1284.0  1259.95  1282.90  1280.60             1317565.0   \n",
       "2013-01-04  1285.00  1301.0  1280.90  1299.00  1299.20             2614380.0   \n",
       "2013-01-07  1300.00  1304.0  1290.25  1295.00  1294.85              910376.0   \n",
       "\n",
       "            Turnover (Lacs)  \n",
       "Date                         \n",
       "2013-01-01          3220.75  \n",
       "2013-01-02         11885.37  \n",
       "2013-01-03         16821.01  \n",
       "2013-01-04         33794.17  \n",
       "2013-01-07         11799.61  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将date 字段设置为索引\n",
    "df = df.set_index('Date')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-01-01</th>\n",
       "      <td>1266.95</td>\n",
       "      <td>1267.9</td>\n",
       "      <td>1260.00</td>\n",
       "      <td>1264.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-02</th>\n",
       "      <td>1267.00</td>\n",
       "      <td>1272.4</td>\n",
       "      <td>1255.55</td>\n",
       "      <td>1263.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-03</th>\n",
       "      <td>1265.00</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>1259.95</td>\n",
       "      <td>1280.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-04</th>\n",
       "      <td>1285.00</td>\n",
       "      <td>1301.0</td>\n",
       "      <td>1280.90</td>\n",
       "      <td>1299.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-07</th>\n",
       "      <td>1300.00</td>\n",
       "      <td>1304.0</td>\n",
       "      <td>1290.25</td>\n",
       "      <td>1294.85</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open    High      Low    Close\n",
       "Date                                         \n",
       "2013-01-01  1266.95  1267.9  1260.00  1264.15\n",
       "2013-01-02  1267.00  1272.4  1255.55  1263.30\n",
       "2013-01-03  1265.00  1284.0  1259.95  1280.60\n",
       "2013-01-04  1285.00  1301.0  1280.90  1299.20\n",
       "2013-01-07  1300.00  1304.0  1290.25  1294.85"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 弃用一些字段\n",
    "drop_columns = ['Last','Total Trade Quantity','Turnover (Lacs)']\n",
    "df = df.drop(drop_columns,axis=1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                Open     High       Low     Close\n",
      "Date                                             \n",
      "2013-01-01  0.126695  0.12679  0.126000  0.126415\n",
      "2013-01-02  0.126700  0.12724  0.125555  0.126330\n",
      "2013-01-03  0.126500  0.12840  0.125995  0.128060\n",
      "2013-01-04  0.128500  0.13010  0.128090  0.129920\n",
      "2013-01-07  0.130000  0.13040  0.129025  0.129485\n"
     ]
    }
   ],
   "source": [
    "df['High'] = df['High'] / 10000\n",
    "df['Open'] = df['Open'] / 10000\n",
    "df['Low'] = df['Low'] / 10000\n",
    "df['Close'] = df['Close'] / 10000\n",
    "print(df.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\SoftDir\\Anaconda\\lib\\site-packages\\ipykernel_launcher.py:2: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "# 将dataframe 转化为 array\n",
    "data = df.as_matrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train (1060, 5, 4)\n",
      "y_train (1060,)\n",
      "X_test (265, 5, 4)\n",
      "y_test (265,)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from pandas import datetime\n",
    "import math\n",
    "import itertools\n",
    "from sklearn import preprocessing\n",
    "import datetime\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from math import sqrt\n",
    "\n",
    "# 1 : 数据切分\n",
    "result = []\n",
    "time_steps = 6\n",
    "\n",
    "\n",
    "for i in range(len(data)-time_steps):\n",
    "    result.append(data[i:i+time_steps])\n",
    "\n",
    "result = np.array(result)\n",
    "\n",
    "\n",
    "# 训练集和测试集的数据量划分\n",
    "train_size = int(0.8*len(result))\n",
    "\n",
    "# 训练集切分\n",
    "train = result[:train_size,:]\n",
    "\n",
    "x_train = train[:, :-1]\n",
    "y_train = train[:, -1][:,-1]\n",
    "   \n",
    "x_test = result[train_size:,:-1]\n",
    "y_test = result[train_size:,-1][:,-1]\n",
    "\n",
    "feature_nums = len(df.columns)\n",
    "\n",
    "# 数据重塑\n",
    "x_train = x_train.reshape(x_train.shape[0],x_train.shape[1],x_train.shape[2])\n",
    "x_test = x_test.reshape(x_test.shape[0],x_test.shape[1],x_test.shape[2])\n",
    "\n",
    "print(\"X_train\", x_train.shape)\n",
    "print(\"y_train\", y_train.shape)\n",
    "print(\"X_test\", x_test.shape)\n",
    "print(\"y_test\", y_test.shape)\n",
    "\n",
    " # 举例：用前5行数据，预测第6行的最后一个数据\n",
    "# train\n",
    " #[[[0.126695 0.12679  0.126    0.126415]\n",
    "#   [0.1267   0.12724  0.125555 0.12633 ]\n",
    "#   [0.1265   0.1284   0.125995 0.12806 ]\n",
    "#   [0.1285   0.1301   0.12809  0.12992 ]\n",
    "#   [0.13     0.1304   0.129025 0.129485]\n",
    "#   [0.1295   0.13043  0.12943  0.130025]]\n",
    "\n",
    "# x_train\n",
    "# [[[0.126695 0.12679  0.126    0.126415]\n",
    "#   [0.1267   0.12724  0.125555 0.12633 ]\n",
    "#   [0.1265   0.1284   0.125995 0.12806 ]\n",
    "#   [0.1285   0.1301   0.12809  0.12992 ]\n",
    "#   [0.13     0.1304   0.129025 0.129485]]\n",
    "\n",
    "# y_train\n",
    "#[0.130025]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "import math\n",
    "#importing keras modules\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Activation ,Dropout , Flatten , Conv1D , MaxPooling1D\n",
    "from keras.layers.recurrent import LSTM\n",
    "from keras import losses\n",
    "from keras import optimizers\n",
    "\n",
    "def build_model(input):\n",
    "    model = Sequential()\n",
    "    model.add(Dense(128,input_shape=(input[0],input[1])))\n",
    "    model.add(Conv1D(filters=80,kernel_size=1,padding='same',activation='relu',kernel_initializer=\"glorot_uniform\"))\n",
    "    model.add(MaxPooling1D(pool_size=2,padding='valid'))\n",
    "    model.add(Conv1D(filters=48,kernel_size=1,padding='same',activation='relu',kernel_initializer=\"glorot_uniform\"))\n",
    "    model.add(MaxPooling1D(pool_size=2, padding='valid'))\n",
    "    model.add(LSTM(32,return_sequences=True))\n",
    "    model.add(LSTM(16,return_sequences=False))\n",
    "    model.add(Dense(32, activation=\"relu\", kernel_initializer=\"uniform\"))\n",
    "    model.add(Dense(1, activation=\"relu\", kernel_initializer=\"uniform\"))\n",
    "    model.compile(loss='mse',optimizer='adam',metrics=['mae'])\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "dense_2 (Dense)              (None, 5, 128)            640       \n",
      "_________________________________________________________________\n",
      "conv1d_2 (Conv1D)            (None, 5, 80)             10320     \n",
      "_________________________________________________________________\n",
      "max_pooling1d_1 (MaxPooling1 (None, 2, 80)             0         \n",
      "_________________________________________________________________\n",
      "conv1d_3 (Conv1D)            (None, 2, 48)             3888      \n",
      "_________________________________________________________________\n",
      "max_pooling1d_2 (MaxPooling1 (None, 1, 48)             0         \n",
      "_________________________________________________________________\n",
      "lstm_1 (LSTM)                (None, 1, 32)             10368     \n",
      "_________________________________________________________________\n",
      "lstm_2 (LSTM)                (None, 16)                3136      \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 32)                544       \n",
      "_________________________________________________________________\n",
      "dense_4 (Dense)              (None, 1)                 33        \n",
      "=================================================================\n",
      "Total params: 28,929\n",
      "Trainable params: 28,929\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "model = build_model([5,4,1])\n",
    "#Summary of the Model\n",
    "print(model.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From C:\\SoftDir\\Anaconda\\lib\\site-packages\\tensorflow\\python\\ops\\math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "Train on 848 samples, validate on 212 samples\n",
      "Epoch 1/35\n",
      " - 1s - loss: 0.0497 - mean_absolute_error: 0.2194 - val_loss: 0.0534 - val_mean_absolute_error: 0.2306\n",
      "Epoch 2/35\n",
      " - 0s - loss: 0.0450 - mean_absolute_error: 0.2084 - val_loss: 0.0476 - val_mean_absolute_error: 0.2177\n",
      "Epoch 3/35\n",
      " - 0s - loss: 0.0392 - mean_absolute_error: 0.1939 - val_loss: 0.0401 - val_mean_absolute_error: 0.1997\n",
      "Epoch 4/35\n",
      " - 0s - loss: 0.0312 - mean_absolute_error: 0.1721 - val_loss: 0.0288 - val_mean_absolute_error: 0.1693\n",
      "Epoch 5/35\n",
      " - 0s - loss: 0.0192 - mean_absolute_error: 0.1325 - val_loss: 0.0122 - val_mean_absolute_error: 0.1095\n",
      "Epoch 6/35\n",
      " - 0s - loss: 0.0050 - mean_absolute_error: 0.0608 - val_loss: 1.3923e-04 - val_mean_absolute_error: 0.0093\n",
      "Epoch 7/35\n",
      " - 0s - loss: 0.0029 - mean_absolute_error: 0.0434 - val_loss: 8.9180e-04 - val_mean_absolute_error: 0.0275\n",
      "Epoch 8/35\n",
      " - 0s - loss: 0.0016 - mean_absolute_error: 0.0301 - val_loss: 7.5790e-04 - val_mean_absolute_error: 0.0247\n",
      "Epoch 9/35\n",
      " - 0s - loss: 0.0015 - mean_absolute_error: 0.0349 - val_loss: 0.0014 - val_mean_absolute_error: 0.0349\n",
      "Epoch 10/35\n",
      " - 0s - loss: 0.0014 - mean_absolute_error: 0.0327 - val_loss: 4.2163e-04 - val_mean_absolute_error: 0.0175\n",
      "Epoch 11/35\n",
      " - 0s - loss: 0.0012 - mean_absolute_error: 0.0271 - val_loss: 1.5023e-04 - val_mean_absolute_error: 0.0098\n",
      "Epoch 12/35\n",
      " - 0s - loss: 0.0012 - mean_absolute_error: 0.0262 - val_loss: 2.8724e-04 - val_mean_absolute_error: 0.0140\n",
      "Epoch 13/35\n",
      " - 0s - loss: 0.0011 - mean_absolute_error: 0.0274 - val_loss: 4.6276e-04 - val_mean_absolute_error: 0.0185\n",
      "Epoch 14/35\n",
      " - 0s - loss: 0.0011 - mean_absolute_error: 0.0274 - val_loss: 3.2032e-04 - val_mean_absolute_error: 0.0150\n",
      "Epoch 15/35\n",
      " - 0s - loss: 0.0010 - mean_absolute_error: 0.0259 - val_loss: 2.3777e-04 - val_mean_absolute_error: 0.0125\n",
      "Epoch 16/35\n",
      " - 0s - loss: 9.8749e-04 - mean_absolute_error: 0.0254 - val_loss: 3.0137e-04 - val_mean_absolute_error: 0.0145\n",
      "Epoch 17/35\n",
      " - 0s - loss: 9.4338e-04 - mean_absolute_error: 0.0253 - val_loss: 3.0366e-04 - val_mean_absolute_error: 0.0146\n",
      "Epoch 18/35\n",
      " - 0s - loss: 8.9521e-04 - mean_absolute_error: 0.0247 - val_loss: 2.6231e-04 - val_mean_absolute_error: 0.0135\n",
      "Epoch 19/35\n",
      " - 0s - loss: 8.2800e-04 - mean_absolute_error: 0.0234 - val_loss: 2.2750e-04 - val_mean_absolute_error: 0.0124\n",
      "Epoch 20/35\n",
      " - 0s - loss: 7.6117e-04 - mean_absolute_error: 0.0228 - val_loss: 2.2216e-04 - val_mean_absolute_error: 0.0124\n",
      "Epoch 21/35\n",
      " - 0s - loss: 6.6121e-04 - mean_absolute_error: 0.0209 - val_loss: 1.5751e-04 - val_mean_absolute_error: 0.0102\n",
      "Epoch 22/35\n",
      " - 0s - loss: 5.4943e-04 - mean_absolute_error: 0.0192 - val_loss: 1.9193e-04 - val_mean_absolute_error: 0.0116\n",
      "Epoch 23/35\n",
      " - 0s - loss: 4.2299e-04 - mean_absolute_error: 0.0171 - val_loss: 1.0814e-04 - val_mean_absolute_error: 0.0085\n",
      "Epoch 24/35\n",
      " - 0s - loss: 2.7429e-04 - mean_absolute_error: 0.0137 - val_loss: 8.9450e-05 - val_mean_absolute_error: 0.0078\n",
      "Epoch 25/35\n",
      " - 0s - loss: 1.4207e-04 - mean_absolute_error: 0.0099 - val_loss: 6.2737e-05 - val_mean_absolute_error: 0.0065\n",
      "Epoch 26/35\n",
      " - 0s - loss: 6.1757e-05 - mean_absolute_error: 0.0064 - val_loss: 4.4531e-05 - val_mean_absolute_error: 0.0052\n",
      "Epoch 27/35\n",
      " - 0s - loss: 4.3216e-05 - mean_absolute_error: 0.0051 - val_loss: 4.4032e-05 - val_mean_absolute_error: 0.0052\n",
      "Epoch 28/35\n",
      " - 0s - loss: 4.2264e-05 - mean_absolute_error: 0.0050 - val_loss: 4.8391e-05 - val_mean_absolute_error: 0.0054\n",
      "Epoch 29/35\n",
      " - 0s - loss: 3.8766e-05 - mean_absolute_error: 0.0048 - val_loss: 4.6311e-05 - val_mean_absolute_error: 0.0052\n",
      "Epoch 30/35\n",
      " - 0s - loss: 3.6800e-05 - mean_absolute_error: 0.0047 - val_loss: 4.7839e-05 - val_mean_absolute_error: 0.0053\n",
      "Epoch 31/35\n",
      " - 0s - loss: 3.6789e-05 - mean_absolute_error: 0.0047 - val_loss: 4.8937e-05 - val_mean_absolute_error: 0.0054\n",
      "Epoch 32/35\n",
      " - 0s - loss: 3.6690e-05 - mean_absolute_error: 0.0047 - val_loss: 4.8910e-05 - val_mean_absolute_error: 0.0055\n",
      "Epoch 33/35\n",
      " - 0s - loss: 3.5956e-05 - mean_absolute_error: 0.0046 - val_loss: 4.4461e-05 - val_mean_absolute_error: 0.0052\n",
      "Epoch 34/35\n",
      " - 0s - loss: 3.5541e-05 - mean_absolute_error: 0.0046 - val_loss: 4.3487e-05 - val_mean_absolute_error: 0.0051\n",
      "Epoch 35/35\n",
      " - 0s - loss: 3.6206e-05 - mean_absolute_error: 0.0046 - val_loss: 4.2866e-05 - val_mean_absolute_error: 0.0050\n",
      "3.9106147246376812\n"
     ]
    }
   ],
   "source": [
    "from timeit import default_timer as timer\n",
    "start = timer()\n",
    "history = model.fit(x_train,\n",
    "                    y_train,\n",
    "                    batch_size=128,\n",
    "                    epochs=35,\n",
    "                    validation_split=0.2,\n",
    "                    verbose=2)\n",
    "end = timer()\n",
    "print(end - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['val_loss', 'val_mean_absolute_error', 'loss', 'mean_absolute_error'])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "history_dict = history.history\n",
    "history_dict.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画出训练集和验证集的损失曲线\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "loss_values = history_dict['loss']\n",
    "val_loss_values = history_dict['val_loss']\n",
    "loss_values50 = loss_values[0:150]\n",
    "val_loss_values50 = val_loss_values[0:150]\n",
    "epochs = range(1, len(loss_values50) + 1)\n",
    "plt.plot(epochs, loss_values50, 'b',color = 'blue', label='Training loss')\n",
    "plt.plot(epochs, val_loss_values50, 'b',color='red', label='Validation loss')\n",
    "plt.rc('font', size = 18)\n",
    "plt.title('Training and validation loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "plt.xticks(epochs)\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(15,7)\n",
    "#fig.savefig('img/tcstest&validationlosscnn.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA5sAAAHPCAYAAADd687YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzs3Xd4lFX6//H3nUrvIAhi6CCICEEQIXERGxYUcQVBVEDERbEAgqCiK4oNdRVZYFUEBCwIFnRd0aUpIk0siP5EAf1iI/QSCCTn98czyU6SSWWSSSaf13XNNc45z3POPcNkN3dOM+ccIiIiIiIiIsEUEeoAREREREREJPwo2RQREREREZGgU7IpIiIiIiIiQadkU0RERERERIJOyaaIiIiIiIgEnZJNERERERERCTolmyIiQWBmrhCPG4o4plt9/UwJUnsLfO31CUZ74czMLvV9VotDHUtWOX0vCvt9MbMnffeNCm6kOfa3ztdffHH0JyIihRcV6gBERMLErABlTYFzgD+ADwLUbynSiERKGTO7FHgXeM85d2mo4xERkROjZFNEJAicczdkLfONXJ4DfBeovhi8AnwE7AlSeyOAe4EdQWpPSpZgf1+KylVAeWBbiOMQEZE8KNkUEQlTzrm9wN4gtvcr8Guw2pOSJdjfl6LinNse6hhERCR/tGZTRCTE/NdCmtnZZrbYzJLMLM3MeviuaWpm95nZSjPbYWYpZvanmb1nZufn0G6ea/PMrKaZ/dPX5lEz+8HMxplZtv9/yGnNZpb425rZ22a228ySzWytmV2Zy3tvY2YLzWyXmR3yrccbaGaVfG0eLMDnaGZ2jZnNMbPvzGy/mR02s01mNsnMquVwX5Kvr1pm1tvMPvPFss/3+bbNpc+eZrbCzA6a2R4z+9DMuuY3Zr92pvtiuDuXayb5rnnUr6zA34tc2s9xzaaZRZrZ7Wb2jZkdMbPfzWy2mZ2SS3v1zGyUmX1sZj/7vl+7zWypmV0T4PoFeFNoAS6xzOubF/tdl+OaTTOrbmaPmNlm3/dvn5l9YmaDcvhOZ6w3NbNTzewV3+d3xPdeb87v55el3fJmNtLM1vi+h8m+7+H9ZlYhjzhamdlrvs841cyG5Pca33WRZjbMzFb7/Qx8Y2YPmFnlAH1nrC82s2pm9rSZ/eT7Lr1SmPcvIpJOI5siIiXHhcCNwPfAEuAk4LivbggwBvgW+BI4CDQBegI9zWy4c25qAfurBawBKgJrgQpAN+BhX9+3F7C9c4A5wM/Af4E4IB5408z6OOcW+l9sZmfjvc+KeO/5C6AeMBM4o4B9A8QCr+JNA03/nKoCHYGxQG8z6+QbwQvkLrzPeB3wb6AD3ufb1czOcM5tyxL/zcA038tVwHZf3Mv8yvNrFjAUGAg8nrXSlyj1972c7VdVFN+LQOYA/YCjwFLgAHA+3nf2vznc0wt4Am9t8ma8z+gUIAE418zaO+fG+F2/FKgGnAf8H/CxX93GvAI0s/rAcrz3/zte4loR6I733bzQzPo651yA25sB64FDwKdAbaALMM3MKjjnns6rf7846gD/AdoBO33v+yhwFvAg0MvMznXOHQhwe1vgAd99y/C+v0fye42ZRQFvAZcAh/H+bY4AicAE4Gpf3zsD9F3ZF2s9vM9xg68PEZHCc87poYceeuhRBA/gBsABy/K4boHvOgeMzOGas4GmAcoT8X5BTgZqZ6m71dfmlBzKHV5yVsGv7i9AGnAMqJtDnH3yGz/eL8UO+DpLeRReEuLwklvL8p4O++oOFuDzjgJ6AzFZyiv53qcDngxwX5Kvbj/wF7/yWLykwQHPZbmnCd4v8anAlVnqJvh9HosLEP8PvnvODFB3nq9uTTF8L7KWD/CV/wa08CuvALzn915HZbnvdKBtgNja4CWDDjg9S92leX1ueH8McEB8lvIPfOULgHJ+5U2BX3x1t2a550m/+J8GogL8/O7K+p3K498x/TszHajoV14ReM1XNzWXOJ4BIgO0m59rxvrqvwcaZPkZWJL++eTwmTvgE6Baft+rHnrooUdeD02jFREpOdY75yYHqnDOfeacy7Z7rXNuOfACUA5vNKsgdgFDnXOH/dpbijeqEQUUdDroRwHifwwv4WljZrX8yi/CS9i2AROccxmjTb739GIB+8Y5d9w5t9A5l5Kl/CDwN9/Lq3Jp4lHf+0+/7yjwiO/lX7JcezNeMvqmc25RlrqH8EbyCip9xHJggLrrslyTHmNRfC+yGuF7fsg5971fH4eBW/D+MJGNc+5r59xXAcq/wftegPfHgRNmZqfhjbImA39zzmWMBvo+n/G+l3fm0MR3eMnycb+yWcBWoAbeaGJ+4jgbuABvJPZvzrlDfnEcwhu93gcMCjSdFm/zrTHOudRcugl4jZkZcIfv5Ujn3P/59X0Q7zt7HG+E/9QA7TpfzCV+3a6IlB6aRisiUnJkTVoyMbOKeNPjzgRqAjG+qla+5+YF7G+Vc25/gPLvgXPxptMVxL+zFjjnks3sZ6CFr70kX1U33/PCLL/gp5uPN9JWYGZ2Ot4v/I3wRpPMV5UCxJlZTNaE1CfQ8TTpyVXWzyLR9zw36w3OuTQzm4eXdBbEbLxplv3MbHT65+JLSq7CS+rmZ72pCL4XWdvu4HsZ6L3+bGYr8EZeA90fg5cEngXUwUvQwZtOe0KxZZHge/7QOfdngPp5eMl3YzNr4J+I+SzJmrw555yZ/T+871F+fxYu8j2/FShhdM7tM7ONeN+fdnjTVv392/dHjtzkdE0LvOnve51z2c53dc79ZGYr8f5w0g1v2re/HwP9cUBE5EQo2RQRKTl+zqnCzM7D+4W5Ti73Vylgf1l/4U6XvilPbA71wWivvu85p51FC7zjqJnF4q337JfHpZXxRnWzChR/Tp9Fevzbcugjp/IcOee2+xK3RLxk+X1fVW+8aZCLnHOZ4i6i74W/enibCe51zu3L4ZptgQrN7Ay8P6A0KqLY/KX/e2wNVOmcO+77o0cT37VZ/62D9bMQ53t+wMweyOPa2gHKcvzfgHxck9d3EuAnvGSzfoC6/PQtIlIgmkYrIlJyJAcqNLPqeOvQ6gDP4o2IVMFbs2XAyPRLC9hfWiHjLI72CvpeAO7BSzS34iVo9YFY55z5Pqf0DVlyarsw8QfabOZEzPI9+0+lDTiFtgi/F4EU6H2aWSSwEC/RfBXoBFT3iy19OnMwYitoO4HeS7C+u+m/V63C+7fM7RHovNqA/xuQz2tO9DPIT98iIgWikU0RkZLvPLxdOpc75wLtENu0mOMJhvRftAOtHQNoWIg2049kGeScW+Zf4dshNNuxDydgB14yGwcEmnoYV8h2FwBT8HYsrYq3Cc95eCOx72W5tji+F7/hJWLVzaxKDtOu4wKUnQk0xkv8r/VfkxvE2Pylj0wGHEX1Jb/pU3eL8qzYX3zP7zjnHsv1yuBL/wzicrkm/fPRebkiUiw0sikiUvLV8D3/krXCt57v8uINJyhW+p57+45ryCqvqbCB5Pg5FbK93Cz3PV+btcK3UUuh+nPecRiL8Db26YO3E2wkMM85l3UjniL/Xvg2tVnvexnovZ7C/9bfBoptR9ZE03eMS7ZzNn3S19IW9I/hK3zPF/j+sJBVP7y1rD8FWK8ZTOnrfq/yfQ+K0/fAH0A1M7s0a6WZxeGtbXX87+dPRKRIKdkUESn5vvM9X2xmGSM3vjWKUwm8/qqk+wBv/Vgc3vq2jF/MzSwBGFyINtM/p79laa8T3hEswTQd7+zEPmbWK0vdeOC0E2jbfyptwCm0PsX1vXjW93y/mTXz66e8r5+YAPekb6zU0cw6+t0TAfwdaJ9DX+kj3i181+aLc+5b4EOgPDDVzMr59dmY/+0qnO/zMgvDObcC73zQjsCLZlYz6zVm1sx3Rmuw+3bAP3wvJ/vOHU3vsyLe2a9ReJtyFXhNtIhIYSjZFBEp+VbijaTVBL4xs8Vm9jreFMUrgX+GMrjC8O20OgDvPM3xwLdmNs/MlgJLgRm+SwPtGpuTR/CmfN4FfG1m881sGd76uQUE3hSoUJxzP+IdMxEJvGVmn/ji/wYvsX3+BJr/GG9KZALeWZXfOufWBbiuWL4XzrlX8HbBrQd8ZWbvmdlrwI94u8y+GuCe7XgJciywysw+NLP5eGeJ3g08lUN33+IlqnHAl2Y228xeMLPb8hHqYF9MVwE/mdlrZrYY+AZvCu0beMlxUesLrAVuBLaZ2Urfd3GJb3fb/weMLqK+n8Cbbt0c+N7M3vF9J37C2xV4M/87BkhEpMgp2RQRKeF8IxY9gYl4UyZ74E1d/C/eCNG3oYuu8Jxzn+FtHPMW3pENVwBVgZvwRmHgf0el5Ke9j/DOBv0YqAtchrdO81a88w2Dyjk3De/IkU/w1iheAvyOt5Yy0DEq+W03DXjFryjQqGZxfy+uwzuj8ie893cu3h8FOhJ4oxvwkr+78EZgu/ri+xro7Ls3G997ugxvKvFJQH9fOxfmFaBvemxH4FG8zaB64SXsXwBDgL6+z7ZIOeeS8N7vzcA6vFHuq4DWwF7gcYI/rTu97+N4P0d/AzYB3fE+zyS8EeXOORwNIyJSJCz7mn0REZHQ8k0znAa85pzrG+p4REREpOA0sikiIiFhZjV86+mylp8DPOx7OStrvYiIiJQOOvpERERCpTnwmZltwpuemQI0wTsvEuAF59y/QxWciIiInBhNoxURkZDwHVFxH976v/p46yv3462xe8k5Ny900YmIiMiJUrIpIiIiIiIiQadptAVUq1YtFxcXF+owREREREREQmL9+vVJzrnaeV2nZLOA4uLiWLcu0HFnIiIiIiIi4c/MtufnOu1GKyIiIiIiIkGnZFNERERERESCTsmmiIiIiIiIBJ2STREREREREQk6JZsiIiIiIiISdEo2RUREREREJOiUbIqIiIiIiEjQ6ZxNEREREQlbR48eZffu3Rw4cIDU1NRQhyNSIkVGRlK5cmVq1KhBbGxs0NpVsikiIiIiYeno0aP8/PPPVK9enbi4OKKjozGzUIclUqI45zh27Bj79+/n559/pmHDhkFLODWNVkRERETC0u7du6levTq1atUiJiZGiaZIAGZGTEwMtWrVonr16uzevTtobSvZFBEREZGwdODAAapUqRLqMERKjSpVqnDgwIGgtadkU0RERETCUmpqKtHR0aEOQ6TUiI6ODuraZiWbIiIiIhK2NHVWJP+C/fOiZFNERERERESCTslmONi5E777LtRRiIiIiIiIZFCyGQ5uugm6dIGVK0MdiYiIiIiUIWPHjsXM+P333wt1/5EjRzAzhg0bFuTIpCRQshkOnn4a6tSBHj3g9ddDHY2IiIiIFCMzy/dj27ZtoQ5XypCoUAcgQdCoEaxaBb16wTXXwC+/wF13gRbEi4iIiIS9OXPmZHq9cuVKZsyYwdChQ+nWrVumutq1awe174kTJ/LAAw9Qrly5Qt1frlw5kpOTiYpSWhKO9K8aLmrUgCVLYOBAGDUKtm/3RjwjI0MdmYiIiIgUoQEDBmR6ffz4cWbMmMHZZ5+drS4nzjkOHz5MxYoVC9R3VFTUCSeKhU1US5LU1FRSUlIoX758wPoDBw5QuXLlIu+npNE02nBSrhy8+qo3qvncc3D11ZCcHOqoRERERKQE+eCDDzAz5s+fzz/+8Q9atmxJbGwszz33HACrVq1i4MCBNGvWjAoVKlClShUSEhJYvHhxtrYCrdlML9u6dSujR4+mfv36lCtXjvbt27NkyZJM9wdas+lftmLFCrp27UqFChWoXbs2w4YN4/Dhw9ni+Oijj+jUqRPlypWjXr16jBo1ii+++AIz49FHH83X57Jnzx5GjRpFkyZNiI2NpU6dOgwYMIDt27dnum7atGmYGStWrGDChAk0atSI2NhY3n77bQDq1q3LRRddxNq1a+nRowdVqlThrLPOyrj/jz/+YNiwYTRo0ICYmBhOPfVUbr/9dvbs2VOgfkoDjWyGm4gImDwZTj0V7rgDuneHd9+FWrVCHZmIiIiIlCCPPfYY+/btY9CgQdSpU4fGjRsD8MYbb/Djjz/St29fGjZsyM6dO3n55Ze57LLLePPNN+ndu3e+2u/Xrx/ly5fn7rvvJjk5maeffprLL7+cLVu2UL9+/TzvX7NmDW+88QZDhgxhwIABfPzxx0yfPp2YmBieffbZjOs+/vhjLr74YurUqcO4ceOoXLkyr776KsuWLcv3Z7F7927OPvtsfvvtNwYPHkyrVq3YsWMHU6dO5aOPPmL9+vXZYh4xYgRpaWkMGzaMSpUq0aRJk4y6H3/8kR49enDttdfy17/+lWTfAFB6P9u3b+emm27ijDPOYM2aNTz33HMsXbqU1atXU6FChXz3U9Ip2QxXI0ZAgwbQv7+3U+2//w2l6IspIiIiUlTuuAM2bgx1FJm1awfPPFO8ff76669899131KhRI1P5xIkTs02nHTFiBG3btmXixIn5Tjbr16/PggULMN8+Iueccw4JCQm88MILTJgwIc/7v/rqK9auXcuZZ54JwLBhwzjvvPOYMWMGTzzxBLGxsQDcddddxMTEsHr1ak455RQAhg8fTpcuXfIVJ8A999zDjh07WLNmDaeddlpG+cCBA2nbti0PPfQQ06ZNy3RPamoqa9euDTgNeMuWLcyZMyfbNOaHH36YrVu38uKLLzJo0CAAbrnlFtq0acOoUaN4+umnGT9+fL77Kek0jTac9e4NH38Mu3fD2WfD55+HOiIRERERKSEGDRqULdEEMiWahw8fZteuXRw5coTExEQ2btzI0aNH89X+HXfckZFoAnTt2pWYmBh++OGHfN2fmJiYkWim6969O0ePHuWXX34BYPv27Xz11Vf06dMnI9EEiImJYcSIEfnqJzU1lVdffZXu3btTp04dkpKSMh5Vq1alQ4cOfPjhh9nuGz58eI4JYL169ejfv3+28kWLFlG/fn1uuOGGTOW33norVatWZdGiRQXqp6TTyGa469LF26n24ovhL3+B+fO9XWtFREREyqjiHkEsqZo3bx6w/LfffmP8+PG8++67JCUlZavft28fderUybP99Gm56cyM6tWrs2vXrnzFl/V+gJo1awKwa9cumjZtytatWwFo0aJFtmsDlQWyY8cO9u/fz7vvvpvjbr1Zp7ZCzp8fQNOmTTMl2uBtwrR9+3a6d+9ORETmMb/Y2FiaNm3KTz/9VKB+Sjolm2VB8+bw2Wdw6aXeaOezz8Lw4aGOSkRERERCKFAClZqaynnnncfWrVu5/fbb6dChA1WrViUiIoLp06ezYMEC0tLS8tV+ZA6nIjjnTuh+/zby21Zu0tvo2bMnd955Z75jCfT55VZX2Fhz66ekU7JZVtSpA0uXQr9+cOut8PPPMGmSt6GQiIiIiAiwbt06Nm/ezCOPPMI999yTqW7KlCkhiipnjRo1AuD777/PVheoLJCTTz6ZihUrcvDgQXr06BHU+PxFREQQFxfHd999R1paWqbRzZSUFLZs2ULTpk2LrP9QUKZRllSsCIsWwS23wOOPe5sH5XPOvYiIiIiEv/QRvKyjcBs2bOC9994LRUi5iouLo02bNixYsCBjHSd4yZv/jrW5iY6Opm/fvqxYsSLg8S4Af/75Z1DiveKKK/i///s/Zs+enan8+eefZ9++fVx55ZVB6aek0MhmWRMZCc8/7x2NMnYs/Pabl4BWrx7qyEREREQkxNq2bUvz5s2ZOHEie/fupVmzZmzevJl//etftG3blg0bNoQ6xGyeeuopLr74Yjp37sywYcOoXLky8+fPz1gzmXXtZCCPP/44q1evplevXvTt25dOnToRGRnJ9u3bWbx4MQkJCdl2oy2M8ePHs3DhQoYMGcLnn39O27ZtWbduHTNnzqRNmzY5TuMtrZRslkVmMGYMnHIK3HADdO0K77/vJaAiIiIiUmbFxMTw/vvvM3r0aF566SWSk5M5/fTTmT9/Pp988kmJTDbPP/983nvvPe69914efvhhqlevzrXXXssVV1xBQkIC5cuXz7ONGjVq8Nlnn/Hkk0+yYMECFi5cSHR0NA0aNCAhIYEhQ4YEJdb0fiZMmMDbb7/Niy++yEknncStt97Kgw8+WKrXZwZiwVhUW5bEx8e7devWhTqM4Fm2DK64AipUgPfegyzbS4uIiIiUVps3b6ZVq1ahDkNCZO7cuQwYMIBFixZxxRVXhDqcUiM/Pzdmtt45F59XW1qzWdadey58+ilERUFCAvznP6GOSEREREQk39LS0khJSclUdvToUZ555hliY2Pp1q1biCITTaMNAzt3wpEj3qzYQmndGlavhp494ZJLYMYMGDQoqDGKiIiIiBSF/fv306pVK/r370/z5s3ZuXMn8+fPZ9OmTUyYMCHjbE4pfko2w8CwYbB8OcyZAxdfXMhGTj4ZVqyAPn1g8GDvaJQJE7z1nSIiIiIiJVT58uW54IILWLhwIb///jsALVu2ZPr06QwdOjTE0ZVtSjbDwKRJcPXV3sDk2LHw0EPerNgCq1LFW7c5dCg8+KCXcE6fDtHRQY9ZRERERCQYYmNjmTVrVqjDkAC0ZjMMNG/uzYK96SZ49FHo3h127ChkY9HR8NJL3qjmzJlw6aVw6FBQ4xURERERkfCnZDNMlC/vLbV85RXYsMHbVPbDDwvZmBk88AC8+CIsWeKt39SuxSIiIiIiUgBKNsNM//6wbh3UqQMXXQT33QepqYVsbNAgb6j09de9ZxERERERkXxSshmGWraENWvghhtg4kTo0QN++62QjY0eDf36wfjxsHhxMMMUEREREZEwpmQzTFWo4C29fPll+Pxzb1rtxx8XoiEzeOEFr4Frr4XNm4MdqoiIiIiIhCElm2Hu+uth7VqoUQPOP9/bZLbA02orVIBFi7yFob16wd69RRKriIiIiIiEDyWbZUDr1t602gEDvH1/LrwQ/vijgI00bAhvvgnbtnnTagu9EFRERERERMoCJZtlRKVKMGuWNyP200+hXTtYtqyAjXTtClOmwAcfwLhxRRGmiIiIiIiECSWbZYgZDB7sreGsUgXOO8/bQCgtrQCNDB0Kt9wCjz8O8+YVWawiIiIiUnJ07dqVpk2bZiobMGAAUVFR+bp/y5YtmBkTJ04MemzHjx/HzBgyZEjQ25YTo2SzDGrb1jse5ZprvKNRLr4Ydu4sQAPPPAMJCV7mun59kcUpIiIiInm7+uqrMTM2btyY4zXOORo1akS1atVITk4uxuiCY/fu3TzwwAOsWLEi1KFIASjZLKMqV4a5c2HaNFi+3JtWu3JlPm+OiYE33vAO87ziikIsABURERGRYBk8eDAAM2fOzPGapUuXsm3bNvr27Uv58uWD0u/MmTM5dOhQUNrKy+7du3nwwQcDJptRUVEkJyczbdq0YolF8k/JZhlmBjffDJ995m04+5e/wKOP5nNabZ068NZbsGsX9OkDKSlFHq+IiIiIZHfBBRdwyimnMHfuXFJy+J0sPRFNT0yDITo6mtjY2KC1dyLKlSuX7ym9JdWBAwdyrHPOcfDgwSLvJ9iUbApnnunNhu3dG+65By67zMsh83XjzJnwyScwYkSRxykiIiIi2UVERHDDDTewa9cu3nnnnWz1+/fvZ+HChbRp04aOHTtmlM+bN4/LLruMhg0bEhsbS+3atenduzfffPNNvvrNac3mihUr6NKlC+XLl6du3bqMGDEi4Ajo8ePHmThxIt26deOkk04iJiaGU089leHDh7N79+6M6z766COaNWsGwH333YeZYWYZa0hzW7M5ffp0zjzzTMqXL0+1atW48MILWbVqVbY40u//5JNP6NatGxUqVKBWrVoMHTq0QKO3a9asoVevXtSsWZPY2FhatGjBpEmTSM1ykkP6Gtgff/yR3r17U6NGDWrUqJHxfs2MOXPm8Nxzz9GqVStiY2N55plnMu5ftmwZPXr0oEqVKlSoUIEOHTrw8ssvZ4snt36KQ+lO/yVoqlSB116Dc8+FO+/0ptW+9hp06ZLHjddcAxs3ekOi7drBsGHFEa6IiIiI+LnxxhuZOHEiM2fOpE+fPpnqXn31VQ4fPpxtVHPKlCmcdNJJ3HzzzZx00kls2bKFGTNm0KVLF7744guaNGlS4DhWrVrF+eefT7Vq1Rg7dixVqlRh/vz5fPLJJ9muPXLkCJMnT+aqq67iiiuuoGLFiqxZs4YZM2bw6aefsnbtWqKjo2nTpg1PPvkko0aNok+fPvTq1QuAypUr5xrLyJEjeeqpp+jcuTOTJk1i3759TJ8+nXPPPZfFixdzwQUXZLp+/fr1LFq0iMGDBzNgwAD++9//8q9//YuoqCimTp2a53t/55136NOnDy1atGD06NFUr16dTz/9lPHjx/PVV18xf/78TNfv37+fhIQEEhMTefjhh0lKSspUP3nyZPbs2cPgwYOpW7cup556KgBvvfUWffr0oV69eowePZqKFSsyf/58brzxRrZu3cqDDz5YoH6KlHNOjwI8OnTo4MLdunXONWrkXFSUc0884VxaWh43HD/uXM+e3g3LlxdLjCIiIiJ5+fbbbwNX3H67c4mJJetx++0n/H67d+/uIiMj3Y4dOzKVd+7c2cXExLidO3dmKj948GC2Nr7++msXHR3tbrvttkzl55xzjmvSpEmmsv79+7vIyMhMZR07dnQxMTHuhx9+yCg7cuSIa9++vQPcQw89lFGemprqDh8+nC2GadOmOcC9+eabGWU//PBDtvvTHTt2zAFu8ODBGWWbNm1ygEtISHApKSkZ5b/88ourXLmya9y4sUtNTc10f0REhFu7dm2mti+44AIXExMTME5/hw4dcrVq1XLnnnuuO378eKa6xx9/3AFu5cqVGWXnnHOOA9yECROytbVkyRIHuJo1a2b7N0tJSXH169d31atXd7/99ltG+ZEjR1ynTp1cRESE+/HHH/PVT05y/LnxA6xz+cidNI1WsunQATZsgMsvh9Gj4Y47wLlcboiM9I5BadLEW7+5fXuxxSoiIiIinsGDB5OamsqcOXMyyr777jtWr17N5ZdfTq1atTJdX7FiRcAbfNq/fz9JSUnUrVuXpk2b8vnnnxe4/19//ZW1a9fSu3fvTMekxMY0XBgXAAAgAElEQVTGcscdd2S7PiIiImOzotTUVPbu3UtSUhLdu3cHKFQM6d566y0AxowZQ3R0dEZ5gwYNGDhwID/99BNfffVVpnu6du1KfHx8prLu3buTkpLC9jx+v/3Pf/5DUlISgwYNYs+ePSQlJWU8evbsCcCHH36Y6R4zY+TIkTm2ecMNN2T7N1u7di07duxgyJAh1K1bN6M8NjaWUaNGkZaWlm0qdV79FCVNo5WAqlWDBQtg1Ch46ilv06Bnn/U2FQqoalV4+2046yxvh9pPP/V2HRIREREpafzWvoWT3r17U61aNWbOnMmYMWMAeOmllwAYNGhQtuvXr1/Pfffdx4oVK7KtS0xfI1kQP/30EwAtW7bMVnfaaacFvOfVV19l8uTJfPnllxw7dixT3Z49ewocQ7qtW7cC0Lp162x1bdq0yYi3Xbt2GeWNGzfOdm3NmjUB2JXHhiabN28GYODAgTle80eWExzq1q2b61Tg5s2bZyvL7/sqSD9FScmm5MgMnnwSIiK8Z+fguedySThbtID58+HSS2HQIO+/c7xYRERERIKpXLlyXHvttUydOpVVq1bRqVMn5syZQ4MGDbKtT9y2bRsJCQnUqFGD+++/n+bNm1OxYkXMjNtuuy1b4pcfzjcVzgL8/ucCTJN7/fXX6devH507d+bZZ5+lQYMGlCtXjpSUFC655BLS8nVEQu6xFERkZGSh20uvf+qppzj99NMDXlO/fv1MryvkMTATqL4w7yuvfoqSkk3JlRk8/rj3/MQTXsI5ZUouOWTPnjBpEowd620YNHZsscYrIiIiUpYNHjyYqVOnMnPmTHbv3s3vv//O+PHjsyVSb775JocPH+aDDz6gW7duGeXOOZKSkqhatWqB+07fUCh9lM9foLI5c+ZQoUIFli5dSrly5TLKA+2GGyiBzU8smzZtythYJ923334LBB7JLKz0keBKlSrRo0ePoLWblf/7yqoo3teJ0ppNyZMZPPYYjBkDU6fC8OF5nMV5993Qty+MGwfvvVdscYqIiIiUde3bt6ddu3a89tprTJkyBTPjxhtvzHZdevKZdaRs2rRphd6t9OSTTyY+Pp6FCxeyZcuWjPKjR49mOrbDP4aIiIhMI5jOOSZOnJjt2kqVKgFkOhIlN+k71j7xxBMcP348o3zHjh3MmjWLxo0b07Zt2/y9sXzo2bMnNWvWZNKkSQGn/yYnJwflfMuOHTtSv359XnzxRf7888+M8pSUFJ588kkiIiK4/PLLT7ifYNHIpuSLmTdgaeadcpKW5iWeEYH+XGEGL74I338P114Ln38OAebui4iIiEjwDR48mNtuu43//Oc/nHvuuQGPMLnkkksYN24c/fv3Z/jw4VStWpVPP/2UDz74gEaNGhW676eeeorzzjuPc845h7/97W9UrVqVefPmBZz+2adPH95++226d+/Oddddx9GjR1m0aBFHjhzJdu1JJ51EXFwcc+fOJS4ujjp16lC5cmUuueSSgHGcdtpp3HXXXTz11FMkJiby17/+lf379zNt2jSSk5OZOnUqEQF/kS2cSpUqMXv2bHr37k2LFi248cYbadq0KXv27OG7775j4cKFLF68mK5du55QP1FRUTz33HNcffXVdOzYkZtuuomKFSvy6quvsmbNGu6//36NbErpZAaPPOINWE6fDrfckssIZ4UK8NZbEBsLvXrB3r3FGquIiIhIWdW/f/+MaamBNgYCb9rn+++/T8OGDXn44YcZN24ce/fuZcWKFZx88smF7rtbt258+OGHNG7cmEmTJjFp0iQ6derEzJkzs107YMAA/vnPf7Jv3z5GjhzJk08+SevWrXn//fcDtj1v3jyaNGnCPffcQ79+/bj99ttzjWXy5MlMmzaNQ4cOMWbMGJ544glat27N0qVLufDCCwv9HnPSs2dP1q5dy/nnn8+cOXMYPnw4kydP5vvvv2f06NEBN/UpjCuvvJIlS5bQtGlTHnvsMcaNG8exY8d46aWXsp2xGWpWmEWmZVl8fLxbt25dqMMIKefgvvvg4YdhyBAv8czxD0MrV0L37nDBBfDOO94xKSIiIiLFYPPmzbRq1SrUYYiUKvn5uTGz9c65+FwvIsQjm2YWYWZ3mtl3ZnbEzH4xs8lmVjEf9zY3s7+b2Woz22lmB8xso5mNz+l+M2thZm+Z2R4zO2RmK82se/DfWXgzg4ce8hLOF16AoUNzGeHs1s3bUej99+Hee4s1ThERERERCZ1Qr9l8GhgBLAImA618r880sx7Oudy2oRkEDAfeAeYCx4C/ABOBv5pZZ+dccvrFZtYEWAUcBx4H9gE3Af8xs4udcx8F+82FMzN48EHv+e9/90Y7//WvHEY4b74ZNm70Fnu2bQv9+hV7vCIiIiIiUrxClmyaWWvgNmChc+4qv/KtwLNAX2BeLk0sACY55/b5lU0zsx+A8cBgYIpf3SSgGtDBObfR19dsYBPwvJm1dJpTXCD+CeeDD3qjmy+8kMNM2X/8AzZtgsGDvfM427cv9nhFRERERKT4hHIabT/AgKz7IP8LOAwMyO1m59y6LIlmutd8z23SC3zTai8HlqUnmr42DgIvAM2BjgV9A+J54AHv8fLLXi6ZmhrgopgYWLAAatWCK64Av62aRUREREQk/IQy2ewIpAFr/Audc0eAjRQ++Wvge/7Dr6wtEAt8FuD61X7xSCFNmOCNbs6aBYMG5ZBw1qnj7VCblAR9+kBKSrHHKSIiIiIixSOUyebJQJJz7miAuh1ALTOLKUiDZhYJ3I+3LtN/Cm76/s07cugLoH4u7Q41s3Vmtm7nzp0FCalMuf9+b+Og2bPhxhtzSDjbt4eXXvJ2qb3vvmKPUUREREREikcok80KQKBEE+CI3zUF8QzQGbjfOfd9lr7Iob88+3LOzXDOxTvn4mvXrl3AkMqWe++FiRNhzhy4/vocEs6+feG66+C55zSdVkRERIqUtuQQyb9g/7yEMtk8jDe1NZByftfki5k9BNwKzHDOTQrQFzn0V+C+JHfjx8Mjj8DcuTBwIBw/nsNFR47AM1mX7IqIiIgER2RkJMeOHQt1GCKlxrFjx4gMuNtn4YQy2fwVb6psoASwPt4U23wt6jOzB4B7gZnAsBz6Sm83UF8QeIqtFNI998CkSTBvXg4JZ4sWcPXV8PzzsHdvSGIUERGR8Fa5cmX2798f6jBESo39+/dTuXLloLUXymRzra//s/wLzawc0A5Yl59GzGwCMAGYDQzJ4fiSr/Gm0J4doK6z7zlf/Un+jR0Ljz0G8+d7s2azJZzjxsH+/TBlSsD7RURERE5EjRo12LNnD0lJSaSkpGhKrUgAzjlSUlJISkpiz5491KhRI2hth+ycTbwjSsYBdwAr/cpvwls/OTe9wMyaANHOue/8GzCz+4EHgDnAjc65tEAdOecOmtm7QG8zO8M596Xv/krAEOAHsuyKK8Fx993eOZx33+2dwzl3LkSlf+vOOAMuvdSbSnvHHVCpUkhjFRERkfASGxtLw4YN2b17N9u2bSM14GYSIhIZGUnlypVp2LAhsbE5rXQsuJAlm865r83seeBWM1sIvA+0AkYAy8m8m+zHwKl453ICYGbDgQeBn4GPgGvNzO8W/nDOLfF7fQ9wHvChmT0N7MdLbOsDl+QwIipBMHq0l3COHg3OeQlndLSvcvx4OPtsmD4dRo4MaZwiIiISfmJjY6lXrx716tULdSgiZU4oRzbBG9XcBgwFLgGSgOfwdpMNOErpJ/1czIbArAD1y4GMZNM5t8XMzgEeBcYCMcAG4CLn3Ecn8B4kH0aNgogIL590zlvLGR0NdO4M3bvDk0/C8OFQrlyebYmIiIiISMlnGtArmPj4eLdunZZ3FtbTT8Ndd8FVV3lrOaOjgaVLvYRz6lS45ZZQhygiIiIiIrkws/XOufi8rgvlBkFSBt15p5dwvvmmX1557rneVNrHHgNtTy4iIiIiEhaUbEqxu+MOb6faF1+E997DW9A5fjxs3+7NrxURERERkVJP02gLSNNog+PoUYiPh127YNMmqF7NQfv2kJzsFQTxMFkREREREQkeTaOVEi02FmbNgj//hNtvxxvdHDcOvv/em2MrIiIiIiKlmpJNCZn27b38cs4ceOcdoHdvaNkSHnnE27JWRERERERKLSWbElL33gtt28LNN8OuvZFwzz3w5Ze+xZwiIiIiIlJaKdmUkIqJ8abTJiXBiBFAv34QFwcPP6zRTRERERGRUkzJpoRcu3Zw333eRrSLFkfDmDGwerV3/qaIiIiIiJRK2o22gLQbbdE4dgw6dYIdO2DT+iPUOquxt37zv/8NdWgiIiIiIuJHu9FKqRId7U2n3bMHbh1VDkaP9kY2P/ss1KGJiIiIiEghKNmUEuP002HCBHjtNVhYayjUquWt3RQRERERkVJHyaaUKGPGQIcOcPNdFTk45A5vV9qNG0MdloiIiIiIFJCSTSlRoqK86bT798PfNg3HVaninbspIiIiIiKlipJNKXFat4a//x3mvFuNzd1vhQULYPPmUIclIiIiIiIFoGRTSqSRI73daa9Ydgdp5crDo4+GOiQRERERESkAJZtSIkVFwcsvw8/JtXn35Jtxc+fC1q2hDktERERERPJJyaaUWC1bwsSJcMuPo0izSHj88VCHJCIiIiIi+aRkU0q0O++EuLNPZnbEjbiXXoJffw11SCIiIiIikg9KNqVEi4z0ptM+xhjSjqXinngy1CGJiIiIiEg+KNmUEq95cxj2WCNecf05PnU6JCWFOiQREREREcmDkk0pFUaMgA/b30NkSjL7H3om1OGIiIiIiEgelGxKqRARAQ++1pK3Iq4iYuoU3N59oQ5JRERERERyoWRTSo2mTeHoyHFUOr6P9YOfD3U4IiIiIiKSCyWbUqpc8+iZfFajJ40WPcX/fX8o1OGIiIiIiEgOlGxKqRIRAQ2n30tNt4vFvWbgXKgjEhERERGRQJRsSqlTv8/Z7Gj+Fy77/kle+ufRUIcjIiIiIiIBKNmUUqnelPHU51e+vOtltm8PdTQiIiIiIpKVkk0plSJ6dOdou07clfIoQ288pum0IiIiIiIljJJNKZ3MiP37eOLcNk5aOp/p00MdkIiIiIiI+FOyKaXXpZfizjiDiRUnMXpkGlu3hjogERERERFJp2RTSi8zbNw4Gh76jivdQgYNgrS0UAclIiIiIiKgZFNKu6uughYteKr2Iyxb5pg6NdQBiYiIiIgIKNmU0i4yEsaOpdbPX3Bfh38zZgz8+GOogxIRERERESWbUvr17w+nnsp4JhId5Rg0CO1OKyIiIiISYko2pfSLjoYxY4hd/xkzr1/GihWwdm2ogxIRERERKduUbEp4uPFGqFePy756mHLlYPbsUAckIiIiIlK2KdmU8FCuHIwcSdTyjxnZ7XPmz4ejR0MdlIiIiIhI2aVkU8LHzTdDjRrctv9hdu+G998PdUAiIiIiImWXkk0JH5UqwfDhnPT5u7Sus5NZs0IdkIiIiIhI2aVkU8LLRRcBMKrzSt57D5KSQhyPiIiIiEgZpWRTwkt8PJQvz6WVlnP8OMyfH+qARERERETKJiWbEl5iYqBLF2p9u4J27dBUWhERERGREFGyKeEnIQG+/JKhV+9h/XrYtCnUAYmIiIiIlD1KNiX8JCaCc/Q95VMiI3XmpoiIiIhIKCjZlPBz1lkQE0P1r5Zz8cXwyiuQmhrqoEREREREyhYlmxJ+ypeHTp1g+XIGDoRff4WPPw51UCIiIiIiZYuSTQlPCQmwYQOXnXuAatU0lVZEREREpLgp2ZTwlJgIqamU27CKa66BhQth//5QByUiIiIiUnYo2ZTw1KULREXBihVcfz0kJ8Obb4Y6KBERERGRskPJpoSnihWhQwdYvpzOnaFZM525KSIiIiJSnJRsSvhKTIQ1a7AjyQwcCMuXw7ZtoQ5KRERERKRsULIp4SshAY4dg9WrGTDAK5ozJ7QhiYiIiIiUFUo2JXx17QpmsHw5cXFw7rnerrTOhTowEREREZHwp2RTwlfVqtCuHaxYAcDAgbBlC3z2WYjjEhEREREpA5RsSnhLTPSyy6NH6dMHypfXmZsiIiIiIsVByaaEt8REOHIE1q2jcmXo3Rtee80rEhERERGRoqNkU8Jb167e8/LlAFx/PezdC+++G8KYRERERETKACWbEt5q1YI2bTLWbXbvDvXr68xNEREREZGipmRTwl9CAnz6KRw/TmQkDBgAH3wAf/wR6sBERERERMKXkk0Jf4mJcPAgbNgAeLvSpqbCvHkhjktEREREJIwp2ZTwl5DgPfum0p52GsTHa1daEREREZGipGRTwl/dutC8ecYmQeCNbm7cCF99FcK4RERERETCmJJNKRsSE2HlSm/+LNCvH0RFaXRTRERERKSohDTZNLMIM7vTzL4zsyNm9ouZTTazivm8/x4ze8PMfjIzZ2bbcrn2Zd81gR59gvampGRKSIB9++DrrwFvk9pLLoFXXoHjx0Mcm4iIiIhIGIoKcf9PAyOARcBkoJXv9Zlm1sM5l5bH/Y8Au4ENQLV89nldgLI1+bxXSqvERO95+XJo1w7wztx8+21YsgQuvjiEsYmIiIiIhKGQJZtm1hq4DVjonLvKr3wr8CzQF8hrv9AmzrmffPd9A1TKq1/n3CuFDlpKr1NOgbg4b5Og228HvJHNGjW8MzeVbIqIiIiIBFcop9H2Awx4Jkv5v4DDwIC8GkhPNAvCPFXMTOtVy5rERC/ZdA6AmBhv7eZbb8HevSGOTUREREQkzIQy4eoIpJFlCqtz7giw0VdfFPb5HslmtsTMOhVRP1LSJCZCUhJs3pxRdP31cPQovPFGCOMSEREREQlDoUw2TwaSnHNHA9TtAGqZWUwQ+/sdb43oLcCVeOs944GVZtYjtxvNbKiZrTOzdTt37gxiSFKs0s/b9DsCJT4eWrbUrrQiIiIiIsEWymSzAhAo0QQ44ndNUDjnxjrn7nLOzXXOveWcexA4CzgG/DOPe2c45+Kdc/G1a9cOVkhS3Bo3hvr1vam0Pmbe6OYnn8CPP4YwNhERERGRMBPKZPMwEJtDXTm/a4qMc+4H4HWgqZk1L8q+pAQw80Y3ly/PWLcJMGCAV6XRTRERERGR4Allsvkr3lTZQAlnfbwptinFEMc233OtYuhLQi0xEX77DbZsyShq0ADOO89LNtPyOmxHRERERETyJZTJ5lpf/2f5F5pZOaAdsK6Y4mjme/6jmPqTUEpft+k3lRZg4EDYts2bTisiIiIiIiculMnma4AD7shSfhPeWs256QVm1sTMWha2IzOr6Etis5afCVwNbHbOacVeWdCyJdSpk2mTIIDevaFiRU2lFREREREJlqhQdeyc+9rMngduNbOFwPtAK2AEsByY53f5x8CpeOdyZjCz63zlALWBGDO71/d6u3Nuju+/mwH/NrO3gB+AQ8AZwCAgFRga5LcnJVX6us0sI5sVK0KfPvD66/Dss1AhaFtTiYiIiIiUTaEc2QRvVHMU0Bp4HugLPAdc6pzLz+q5wcBDvkcdoJrf68F+1/0OfAT8BXgAmAJcije62t45p8mTZUlCAmzf7j38XH89HDgAb78dorhERERERMKIOb9dOSVv8fHxbt264lpOKkXiq6/gjDO8ObPXXZdRnJYGjRpBq1bwwQchjE9EREREpAQzs/XOufi8rgv1yKZI8WvTBqpXz7ZuMyLCyz2XLIFffw1RbCIiIiIiYULJppQ9ERHQrVu2ZBO8ZDMtDebODXCfiIiIiIjkm5JNKZsSEryzNrMMYbZoAZ07w6xZoBnmIiIiIiKFp2RTyqbERO85y6604J25uWkTfPFFMcckIiIiIhJGlGxK2dSuHVSuHDDZvOYaiInRmZsiIiIiIidCyaaUTVFRcM45Addt1qgBl10G8+bBsWMhiE1EREREJAwo2ZSyKzERvv0Wdu7MVnX99V6xjkARERERESkcJZtSdiUkeM8rV2aruugiqF3b2yhIREREREQKTsmmlF3x8VC+fMCptNHRcO218O67sHt3CGITERERESnllGxK2RUTA2efHXCTIPB2pU1JgddeK+a4RERERETCgJJNKdsSE+HLL2HPnmxVZ54JbdpoV1oRERERkcJQsillW2IiOAeffpqtyswb3Vy9Gr7/PgSxiYiIiIiUYko2pWw76yxvOm2AdZsA/ftDRATMmVPMcYmIiIiIlHJKNqVsK18eOnXKMdk8+WQ4/3wv2UxLK+bYRERERERKMSWbIgkJsGEDHDgQsPr66+Hnn3PMR0VEREREJAAlmyKJiZCaCqtWBazu1QsqV9aZmyIiIiIiBaFkU+TssyEyMscjUCpUgL/+FRYsgEOHijk2EREREZFSSsmmSKVKEB+f6zzZgQO9RPPdd4sxLhERERGRUkzJpgh4U2nXrIHk5IDVXbp4I5yffVbMcYmIiIiIlFJKNkXA2yTo2DHvUM0AoqLgzDNh3bpijktEREREpJRSsikC0LUrmOU6lbZjR/jiCzh+vBjjEhEREREppZRsigBUrQrt2uW4SRB4yzqTk2Hz5mKMS0RERESklCpQsmlmlczsJTO7uqgCEgmZxERvUebRowGr4+O957VrizEmEREREZFSqkDJpnPuINAXqFI04YiEUEICHDmS48LMZs288za1blNEREREJG+FmUb7LRAX5DhEQq9bN+85h3WbERHQoYOSTRERERGR/ChMsvk4cIuZNQ92MCIhVasWtGmT67rNjh3hyy8hJaUY4xIRERERKYWiCnFPS+AX4GszWwz8ABzOco1zzj10osGJFLuEBJg929tyNir7j0d8vJdofvMNtG8fgvhEREREREqJwiSbD/j995U5XOMAJZtS+iQmwtSpsGEDnHVWtmr/TYKUbIqIiIiI5Kww02gb5ePROFgBihSrhATvOYeptI0aQfXqWrcpIiIiIpKXAo9sOue2F0UgIiVC3brQvLm3SdCoUdmqzbzRTSWbIiIiIiK5K8zIZgYzq2lm8b5HzWAFJRJSiYmwciWkpgasjo/31mwmJxdzXCIiIiIipUihkk0zO8PMlgN/Ap/7Hn+a2TIzaxvMAEWKXUIC7NsHX38dsLpjR2//oK++Kua4RERERERKkQJPozWzNsAnQDngHeAbX1Vr4DJgpZl1cc5tClqUIsUpMdF7Xr4c2rXLVp2+SdC6ddCpUzHGJSIiIiJSihRmN9q/A8eALs65TEM/vkR0he+aq048PJEQOOUUiIvzNgm6/fZs1Q0aQJ063o60IiIiIiISWGGm0SYAz2dNNAGcc98AU4HEEw1MJKQSE71k07lsVdokSEREREQkb4VJNisCv+dS/5vvGpHSKyEBkpJg8+aA1fHxXtXBg8Ucl4iIiIhIKVGYZPMn4NJc6i/1XSNSevmv2wygY0dIS4ONG4sxJhERERGRUqQwyeZs4EIzm2dmrc0s0vdoY2ZzgQuAl4MapUhxa9wY6tf3ptIG0KGD96yptCIiIiIigRVmg6AngfZAX+AaIM1XHgEY8DowOSjRiYSKmTeVdtkyb92mWabqevW8XFTJpoiIiIhIYAUe2XTOpTrnrgEuBKYBS4CPgH8CFzjn+jrn0nJrQ6RUSEyE336DLVsCVsfHa0daEREREZGcFGhk08wigfrAQefcErxEUyQ8JSR4zytWQLNm2arj4+Htt2HfPqhatZhjExEREREp4Qo6shmNt/nP4CKIRaRkadkSatfOdZMggA0bijEmEREREZFSokDJpnPuCJAEHCqacERKkPR1m9okSERERESkwAqzG+375H70iUj4SEyE7du9Rxa1akFcnJJNEREREZFACpNs3g3UM7NZZna6mZULdlAiJUb6eZs5jG5qkyARERERkcAKk2z+CbQFrgM2AofMLDXL43hQoxQJlTZtoHr1HNdtxsfD1q2wa1cxxyUiIiIiUsIV5pzN2YALdiAiJVJEBHTrlmuyCbB+PVxwQTHGJSIiIiJSwhU42XTO3VAEcYiUXAkJ8M478OuvcPLJmar8NwlSsikiIiIi8j8FmkZrZpXM7CUzu7qoAhIpcXJZt1mtmncEpzYJEhERERHJrKBHnxwE+gJViiYckRKoXTuoXDnXTYKUbIqIiIiIZFaYDYK+BeKCHIdIyRUVBeeck+u6zV9+gT/+KOa4RERERERKsMIkm48Dt5hZ82AHI1JiJSbCt9/Czp3ZqtI3CdLopoiIiIjI/xRmN9qWwC/A12a2GPgBOJzlGuece+hEgxMpMRISvOeVK6F370xV7duDmZdsXnJJCGITERERESmBCpNsPuD331fmcI0DlGxK+DjzTO/5m2+yJZuVKkGrVhrZFBERERHxV5hks1HQoxAp6cqXh1NOgR9+CFgdHw8ffgjOeaOcIiIiIiJlXWHO2dyeW72ZVQDqFjoikZKqWbNck83Zs2HHDmjQoJjjEhEREREpgfK1QZCZpZhZX7/Xlc3sHTM7PcDlV+Kt4xQJL82awf/7fwGrtEmQiIiIiEhm+d2NNirLtTHApUDtoEckUlI1bw579sCuXdmq2rWDyEglmyIiIiIi6Qpz9IlI2dSsmfccYCpt+fLQpo2STRERERGRdEo2RfKrue9o2Vym0q5b520SJCIiIiJS1inZFMmvRo34/+3dd5xcVf3/8ddns+mFVBICJCHJLoRelgChSJUm0kTgC6goIAoi6ldRUED5CX4VEOWLXxtNFASEUKTXSCcJLfSEJJQA6XXTtpzfH587zGR2Zqfd2dnyfj4e9zGzd+79zJm7c2buZ86551BV1eogQYsXw/utDqElIiIiItI1KNkUyVePHjBmTKvJJsDUqW1XJBERERGR9qqQqU8OM7PElCZ9gAAcZ2Y7pm23SyEFMLMq4LvAN4ExwELgNuDCEEJ9Hvv/BNg5et4tgPdDCGNa2X434JfAbtFreBb4cQjhlULKLV1UbW3WboVnneEAACAASURBVLTbbef56LRpcNxxbVwuEREREZF2ppBk87+iJdU3s2xbyFVrvwXOASYDVwATor93MrMDQwjNOfa/FFgCvAQMbG1DM9sdeBKYB1wYrT4beMrMJoUQZhRQbumKamrg6af9wkyzDR7q2RO2316DBImIiIiIQP7J5n7leHIz2wb4DnBnCOHYlPVzgN8DJwA35wgzLoQwO9rvdaBfK9v+HlgP7BNCmBftcxvwFp7ofr7IlyJdRU0NrFoF8+fDiBEtHq6rg1tugeZmv7xTRERERKSryivZDCFMKdPznwgYcFXa+r8AvwJOJkeymUg0czGz8cCuwHWJRDPaf56Z3Q6camYjQgifFlB+6WpSR6TNkmz+8Y/w3nvJmVJERERERLqiSre97Ao0Ay+mrgwhrAVeiR6P87kAnsvw2PN40lvQ9abSBbUy1yYkBwlSV1oRERER6eoqnWyOBBaFENZleGweMNTMesT4XIm4mZ4LYNNMO5rZGWY2zcymLVy4MKbiSIc0ahR075412dx6a+jVSyPSioiIiIhUOtnsA2RKNAHWpmwT13OR5flafa4Qwp9DCHUhhLphw4bFVBzpkKqrYdy4rCPSdu8OO+2klk0RERERkUonm6uBnlke65WyTVzPRZbni/u5pDOrqcnasgnelfall6CpqQ3LJCIiIiLSzlQ62fwY7yqbKQHcFO9iuz7G50rEzfRckLmLrciGampg1iwfcjaDujqor4d33mnjcomIiIiItCOVTjanRmWYmLrSzHoBOwJxdkZMXEW3R4bHdsfnBp0e4/NJZ1VbC2vXwkcfZXxYgwSJiIiIiFQ+2bwVT/LOTVt/On795D8SK8xsnJltVewThRBm4cnrcWaWGCyI6P5xwOOa9kTykmNE2i23hL59NUiQiIiIiHRtec2zWS4hhBlmdg1wtpndCdwPTADOAaaw4RybjwGj8SlKPmNmp0TrAYYBPczsp9Hf74cQbkrZ/LvAE8BTZnZ1tO47eNL9g9hemHRuqXNtHnBAi4e7dYNddlHLpoiIiIh0bRVNNiPnAnOBM4DDgUXA1cCFIYTMF8Vt6BvA59LWXRLdTgE+SzZDCM+a2b7A/4uWADwLHBdCeLX4lyBdysiR0Lt3zkGC/vAHaGjwEWpFRERERLqaiiebIYQm4IpoaW27MVnW71vg8z0HtGyOEslXVRWMH58z2Vy7Ft58E3bYoQ3LJiIiIiLSTlT6mk2Rjqm2Nutcm6BBgkRERERElGyKFKOmBmbPhsbGjA+PGwcbbaRkU0RERES6LiWbIsWoqfFE8/33Mz5cVeWtmxqRVkRERES6KiWbIsVIHZE2i7o6eO01WLeujcokIiIiItKOKNkUKUaOuTbBk82GBpgxo43KJCIiIiLSjijZFCnGxhtD//45k03QdZsiIiIi0jUp2RQphlnOEWlHj4YhQ5RsioiIiEjXpGRTpFg1Na22bJrBrrsq2RQRERGRrknJpkixamp8NNpWRgCqq4PXX4fVq9uwXCIiIiIi7YCSTZFi1dZCc7PPt5lFXR00NcGrr7ZhuURERERE2gElmyLFynNEWlBXWhERERHpepRsihQrj2Rz5EgYMULJpoiIiIh0PUo2RYo1eLAPN9vKiLRm3rqpZFNEREREuholmyKlyDEiLfiItG+9BStXtlGZRERERETaASWbIqXIMdcmeMtmCPDyy21UJhERERGRdkDJpkgpampg3rxW5zbZZRe/VVdaEREREelKlGyKlCIxSNCsWVk3GT4cNt9cyaaIiIiIdC1KNkVKUVvrt3l0pVWyKSIiIiJdiZJNkVKMH++3eQwSNHMmLFvWBmUSEREREWkHlGyKlKJ/f59IM0eyWVfnt9Ont0GZRERERETaASWbIqXKY0RaDRIkIiIiIl2Nkk2RUuUx1+bgwTB2rJJNEREREek6lGyKlKqmBhYsgOXLW91MgwSJiIiISFeiZFOkVIkRafMYJGjuXFi0qPxFEhERERGpNCWbIqVKzLWZ5yBBat0UERERka5AyaZIqcaNA7OcyebOO/utkk0RERER6QqUbIqUqndv2HzznCPSDhgAW26pZFNEREREugYlmyJxyGNEWtAgQSIiIiLSdSjZFIlDYq7NEFrdrK4O5s2DTz5po3KJiIiIiFSIkk2RONTUwLJlsHhxq5vtuqvfTp/eBmUSEREREakgJZsicchzRNodd4SqKpg6tQ3KJCIiIiJSQUo2ReKQ51ybffvC1lvruk0RERER6fyUbIrEYYstoFu3nCPSQnKQoByXd4qIiIiIdGhKNkXi0L07jBmT94i0CxbARx+Vv1giIiIiIpWiZFMkLokRaXNIDBKkrrQiIiIi0pkp2RSJS2KuzRz9Y7ffHqqrlWyKiIiISOemZFMkLjU1UF8Pn37a6ma9esF222lEWhERERHp3JRsisQlMSKtBgkSEREREVGyKRKbPOfaBE82ly6FOXPKXCYRERERkQpRsikSl1GjoEePvJJNDRIkIiIiIp2dkk2RuHTrBuPG5dWNdpttoGdPJZsiIiIi0nkp2RSJU2JE2hx69IAddtAgQSIiIiLSeSnZFIlTbS3MmgXNzTk3rauD6dPz2lREREREpMNRsikSp5oaWLcOPvww56Z1dbByZV4NoSIiIiIiHY6STZE4FTAirQYJEhEREZHOTMmmSJwSc23mkWxutRX06aNkU0REREQ6JyWbInEaOdIzyDxGpK2uhp12UrIpIiIiIp2Tkk2ROJnB+PF5X4hZVwcvvQSNjWUul4iIiIhIG1OyKRK32tqCks3Vq+Htt8tcJhERERGRNqZkUyRuNTUwe3ZezZV1dX6rrrQiIiIi0tko2RSJW02NJ5pz5+bctLYW+vdXsikiIiIinY+STZG4FTAibVUV7LYb/OtfMG9emcslIiIiItKGlGyKxC0x12YeI9ICXHkl1NfDF7/otyIiIiIinYGSTZG4DRsGAwbkPUjQdtvBP/8Jr7wCX/kKNDeXuXwiIiIiIm1AyaZI3My8K22eLZsAhx8Ol18Od94JP/1pGcsmIiIiItJGlGyKlENNTd4tmwnnngunnw6XXQZ/+1uZyiUiIiIi0kaUbIqUQ20tvP8+rFuX9y5mcM01sP/+nnQ+/XQZyyciIiIiUmZKNkXKoaYGQoD33itot+7d4fbbYfRoOPpomDOnTOUTERERESkzJZsi5ZAYkbbArrQAgwfDv/8NTU3whS/A8uUxl01EREREpA0o2RQphxKSTfBeuP/6l48xdMIJ0NgYY9lERERERNqAkk2Rchg0CIYOLWhE2nT77+/XcD74IPzgBzGWTURERESkDVRXugAinVYRI9KmO+MMeOstuOoqmDABzjwzprKJiIiIiJSZWjZFyqW2tuRkE3z+zcMPh7PPhkcfjaFcIiIiIiJtoKLJpplVmdn3zOxtM1trZh+a2RVm1jfu/c3sSTMLWZa6+F+ddHk1NTBvHtTXlxSmWze4+WZv2fzSl+Dtt2Mqn4iIiIhIGVW6ZfO3wJXAm8B3gNuBc4B7zSyfshW6/yLglAzL7NJehkgGiUGCZs0qOdSAAXDvvdCjh49Qu3hxySFFRERERMqqYtdsmtk2eIJ4Zwjh2JT1c4DfAycAN8e8f30I4e+xvQiR1tTW+u3MmbDDDiWHGzMG7roL9tsPjj0WHn7Yk08RERERkfaoki2bJwIGXJW2/i/AauDkcuwfdb0dYGZWcIlFCjF+vN+WMCJtukmT4LrrYMoU+Pa3IYTYQouIiIiIxKqSyeauQDPwYurKEMJa4JXo8bj33xRYBSwHVpnZnWa2VVGlF8mlXz/YZJNYBglKddJJcMEFcO21cOWVsYYWEREREYlNJac+GQksCiGsy/DYPGCSmfUIIayPaf85wDPAa0ATsBtwNnCAme0VQpiRraBmdgZwBsCoUaPyeGkikZhGpE33i1/AO+/AD3/oT3HEEbE/hYiIiIhISSrZstkHyJQoAqxN2SaW/UMIp4YQLggh3BpC+FcI4YfA54F++CBDWYUQ/hxCqAsh1A0bNqy1TUU2VFMTazfahKoquPFG2GUXOPFEePXV2J9CRERERKQklUw2VwM9szzWK2Wbcu1PCOEp4D/AfmbWu7VtRYpSWwsLF8Ly5bGH7tMH7r4bBg70ls1PP439KUREREREilbJZPNjYKiZZUoYN8W7yGbrQhvH/glzgW7AoDy2FSlMYvqTMnSlBRg5Eu65x6dCOeooWLOmLE8jIiIiIlKwSiabU6Pnn5i60sx6ATsC08q8f0IN0AgsyXN7kfwlks0ydKVN2HlnuOkmeOEF+MY3NEKtiIiIiLQPlUw2bwUCcG7a+tPxay3/kVhhZuMyjBpbyP4bmVm39AKY2eHAnsAj0Si2IvEaNw7MytaymXDMMXDZZXDLLXDJJWV9KhERERGRvFRsNNoQwgwzuwY428zuBO4HJgDnAFOAm1M2fwwYjc+rWcz++wFXmtm9wGy8JXMiPhfnIlomrCLx6NULRo0qa8tmwnnnwVtvwUUXwZZbwvHHl/0pRURERESyquTUJ+BJ3lx8WpHD8cTvauDCEEJzjPu/A0wHvgAMB7oDHwF/BC4NIcyL4bWIZFZTU/aWTfAG1D//GWbPhq99DbbYAiZOzLmbiIiIiEhZWNAFXgWpq6sL06blezmoCHDWWXDzzbBkiWeEZbZwIey2G6xeDVOnwuabl/0pRURERKQLMbPpIYS6XNtV8ppNka6hpgaWLYNFi9rk6YYNg3vv9ZFpjzgCli5tk6cVEREREdmAkk2Rcivz9CeZbLMN3HabX8O5997w0Udt9tQiIiIiIoCSTZHyq6312zZMNgEOPhgeeAA++AAmTfLEU0RERESkrSjZFCm3MWOgW7c2GZE23f77w5QpsH497LUXPPdcmxdBRERERLooJZsi5da9uw8N28Ytmwk77QTPPAODBsEBB8B991WkGCIiIiLSxSjZFGkLtbUVSzYBxo3zhHPCBDjySLjxxooVRURERES6CCWbIm0hMddmBacaGj4cnnwS9t3X5+H89a8rWhwRERER6eSUbIq0hZoaqK+HTz6paDH69/dutMcfD+edB9//PjQ3V7RIIiIiItJJVVe6ACJdQuqItCNHVrQoPXvCzTd7S+dVV8GCBXD99dCjR0WLJSIiIiKdjFo2RdpCYq7NCoxIm0lVlSeal13miecRR8DKlZUulYiIiIh0Jko2RdrC5pt7k2IFBwlKZwY//jFcdx089phPk7JgQaVLJSIiIiKdhZJNkbbQrZsPCduOks2EU0+FyZPh9ddhzz1hzpxKl0hEREREOgMlmyJtpaam3XSjTXfEEd66uXgxTJoEr7xS6RKJiIiISEenZFOkrdTWwnvvtdvhXydNgqefhupq+NznfJqUtjR3TuCR4/7Ew3Xn8/urmnnwQZg9G5qa2rYcIiIiIhIPjUYr0lZqamDdOvjwQxg9utKlyWjrreHZZ+GQQ+Dgg33woGOPLd/zvfMO3HEHTLnlY773+tc5hIcAmDYdDuVSwEfJHTfOD19t7YbLiBF+7amIiIiItD9KNkXaSuqItO002QQfy+ipp7xr7XHHwTXXwLe+FU/sEGDGDE8w77gD3ngDjuEObqs+gz7d17Dop9cw5IOXOf/ayzj2ggk8M/YUZs70Q/buu/DQQ56vJ/TrlzkJramBQYPiKbOIiIiIFEfJpkhbSZ1r86CDKluWHAYPhkcegeOPh29/Gz79FC6+uLhWxBBg2rRkgjlrlk+9cvAeK7ht4jls/eKNsGMd3HQTQ7faCtavh/dmseVvTmPLx8fC1/f8LFZzszcMv/suGySh06bB7bdv2EN56NANE9CttvLD3q9f6cdHRERERHKzEEKly9Ch1NXVhWnTplW6GNIRhQD9+8Npp/kklx1AYyOccQZcf73fXnONX9OZS1OTd8e94w64805PEKurfXqVY4+FLw1/isHnfgU++ADOPx8uvBC6d08GWLwYdt8dli+HF1+EMWNyPuf69X6NZ2oSmlg+/ti36dvXW2u//nXYay91wRUREREphplNDyHU5dpOLZsibcUMxo9vl9OfZFNdDdde69dGXnaZz8N5yy3Qq1fLbRsbfVChO+6Au+7y1tCePeHzn4dLLvFuuYP7rYeLLoIz/wfGjvURifbYo2WwIUPg3ns94TziCHjmGRgwoNWy9ujhrZdbbdXysVWr4KWX4Kab4NZb4YYb/F/xta/BV78Km21WzNERERERkdaoZbNAatmUknz5yz6vSDudAqU1v/89nHuutwjecw8MHOjXTz76qCeYd98NS5ZAnz5w2GHegnn44d6YC/gFmief7K//tNPgt7/N3af1kUfg0EN9xKK77/b5SktUX+/lvf56T46rqrx77amnwpFHZk6kRURERCQp35ZNTX0i0pZqaryvZ0NDpUtSsHPO8dFpn38e9t4bTjoJNt4YvvAFT94OPdS7zC5c6NdPnnBClGg2N8Pvfge77AIffeTNnn/5S34XTx50kGe5990HP/pRLK+jb1/4ylfgiSd8JpoLLoA33/TyjhwJZ58N06d7r2cRERERKZ5aNguklk0pyQ03eBPau+8mR6ftYB591Fstu3f3lsBjj4UDDvAusy3Mm+ev95FHvJnz2mth+PDCn/Q734H//V9PUk87reTXkK6pCR5/3Fs777zTW2y3396LftJJMGxY7E8pIiIi0mHl27KpZLNASjalJM8+C3vu6S11hx1W6dIUbf16737a6mBBt90GZ57pmduVV/oIQ8WOyNPY6Mnq44974rrvvsXFycOyZfDPf8J118HUqZ5UH3GEJ56HHJLfAEkiIiIinZm60Yq0R6lzbXZgPXq0knQtXw6nnOLzptTUwMsvwze/WdrQr9XVPrLP+PHelDprVvGxchg40HPkF1/0OUG/853kvKObbw7nnQdvv122pxcRERHpNNSyWSC1bEpJQvBJLP/rv3wekXJqaPCW1M0285Ff22KejylT/ILIefPgZz/zCyLjbAp87z2YONEvFn3uOc8M20BDA9x/v7d23nefd7vdfXefQuX443MOlNturF3r19QuWuSNxeBvi8SS+nexj/Xt6/+e1JlsREREpHNRN9oyUbIpJZs40ZOkhx8u33OE4Enf3//ufw8YADvsADvtlFwmTPAmyjisW+fJ5eWXw7hx/ry77RZP7HRTpvjAQfvu6xlgG/drnT/fX9511/nAQr17++EcNKjlMnBg5vV9+sST+69f78njwoU+Lc2CBcn7mW5Xriz9OfNhBkOHwiab5F56926bMomIiEh8lGyWiZJNKdlJJ/m8kXPnlu85rroKvvc9+P73feLJl1/2KUdefRVWr/ZtevSAbbbxTGnHHf12hx1S5irJ04wZPqXJa695d9krrvDmrXK69lofKOiss3zgoAoIwa/pvPFG71a7dKlf77l0qfckbu2jtXv33AnpoEE+6NKiRdkTyOXLM8evrvZBjTbeOPPt0KH+7w8huSReU/r9Qh9buRI++aTl8umn3iKcbqONsieiI0Yk72+0Uds0zouIiEhu+SabGupCpK3V1sItt3ifxnJM6vjYY/Df/w1HHw2/+Y2P5JPQ1AQzZyaTz5df9kkzr7vOHzfz6yITyWciER0xouXzNDd7UvuTn3jGdO+9Pg9KW/jGN+CttzyxnTDBk842ZuaN1BMntnysqQlWrPDEM31JJKSpy6JF/m9JPN7cvGG8qipPEhMJ4847b5hApieTAwe2v8SsudlfZ6ZENLE895zfrl3bcv+ePX22nD59Clv69s29TXX1ht2CE0tVVeb1ubYRERERp5bNAqllU0p2883euvnGG7D11vHGnjMHdt3Vpxd5/vn8WilD8GssE8lnYklteR0xYsMW0DFj4Mc/9tFhv/hFn5Jk443jfS25NDXBUUfBAw/4ctBBbfv8ZdLcDKtWeeK5dq23Qg4atOFvBp1ZCN5im56ILlgA9fXeMJ/Psn59ZV+HmSexhSbHmZbevVsm0EOH+n0REZFKUDfaMlGyKSWbOtWbwyZP9mQpLvX1Pq3K3Ln+HKXO47lsWTIBTdy++WayL2TfvvC73/koOZVqzlm50l/zBx94cr3VVpUph7Q7jY2wZk3upLS+3rdN7RqcujQ3Z38s1zYNDRuWIZ/yFPKV3K+f/8YzfHju20GD1OoqIiLxUTdakfYqkQTOnBlfzBC8a+lrr/lwqaUmmuB9Mffdd8M5Ldeuhddf96Rz771hiy1Kf55S9O/v3XcnTvQuvC+8AEOGVLZM0i5UV/vbo9BLkCspBB9rK1MSmpqorlqVvG53/ny/nT3buyEvWtSyGzb48Uh0uW4tKR040H9HSnQ/VoIqIiKlULIp0tYGDvQL6+JMNn/zG5+H8rLL4NBD44ubrlcvqKvzpb0YPdpbiffbz+fgfPjh+EbZFWlDZl7FevXyGZKK0dQEixdvmIjOn7/h/QUL/JLn+fM9uW1NottupqW1x9KXjTby3vf9+hX3ukREpGNSsilSCTU18O678cR66CEfpOe44+C88+KJ2dFMmuQj1J5yCnz7234NqZpkpAvq1i3Zgrnttq1vG4L3RE9NRJcv967FuZalS5PdkBNLQ0Pu8g0b5tP+jh3rHSMS98eO9SmBu3WL5ziIiEj7oGRTpBJqa+OZZ3PWLDjhBJ/C5Prru3aCdfLJ3lxz6aU+8NL3v1/pEom0a2Y+Be+AAfH0vG9oaD05nTvXu/vOnu093m+7bcPpcKqrvaNCtmR00KDSyygiIm1LyaZIJdTUwA03+MVXxfYrW7XKBxiqqoK77ir/3JYdwSWXwDvv+NQvtbVtNxWLiNC9u18lMHBgfts3NsKHH3ryOWdOMhGdPRvuuMOvP0210UYbJp+JZHT0aBg1SqPzioi0R0o2RSoh0Ywwa5ZPJ1KoEOCrX/WWvIce8jMu8cT7xhv9zPXEE+HZZ2G77SpdKhHJoLraE8Zs44ytWJFMQlOT0TfegH//u+X1pkOHetI5alQyAU29v/HGXbvzh4hIJSjZFKmE2lq/nTmzuGTz0kvhzjvhiivgwAPjLVtH17cv3HOPzzd6xBHw4ottPweoiJRswADYYQdf0jU3+/yrs2f7zEfvv++3H3zgl8M/8oh3303Vs2cyAc2UlG6+uQ/OJCIi8VGyKVIJ48f7bTGDBP373/Czn8FJJ8H3vhdvuTqLTTf1hHPvveHoo+Gxx3QWKdKJVFV5Nd9008yPh+BTBacnoon7Dz3kyWr6vKbDhyeTzy228I/qmhpfNt3Un1dERPKnZFOkEvr29TOXQqc/eecdTzJ32kkjruZSVwd/+xt8+ctwxhnevbarH6+1a+Hxx73ZZ/PNYZ99vGW9Wl8F0rmY+YBCgwZlbhkFWL8ePvqoZSL6wQc+nXB6V91evWDcuGTymZqIjhypRFREJBOdYYhUSk1NYcnm8uVw5JHeF2zyZOjdu3xl6yyOOw5+8Qu48EKYMMGniOlqli2D++/3QaQeeMAHlurZM3kW3b8/7LmnJ56f+5wn6ZqnVLqAHj2Sgw1l0tzsyejMmb7MmuW377zjVWr9+uS2vXsnE9HUJLSmBjbZRImoiHRdSjZFKqWmxpPGfDQ3+xySs2Z5l9BRo8pbts7kpz/1gZTOP99HGbnwQp/QrzObN8+7EU+eDE884cN+jhjhreJHHQX77QeLF8N//uPLlCl+fMDPmnff3RPPffaB3XbTMJ/SJVVVJbvUHnDAho81NSUT0UQSOnOmf9Tcd1/LRDSRgI4fD1tu6dVqwgQloSLS+VlIv2BBWlVXVxemTZtW6WJIZ3D55fDDH/oEdLnmCrjoIm+hu/pqOPvstilfZ7J2LfzoR/DHP/rZ3VlneSvn0KGVLlk8QoC33/bWy7vu8kGRwM9ujz7al4kTWz+zXbgQnn46mXy+8orH7d7d991nH1/23NNbQ0Uko6Ymn9IlPRGdOdMHNGpo8O0GDoQ99vAqteeeXs30u46IdBRmNj2EUJdzOyWbhVGyKbG5+25vZXrxRR85NZvJk+GYY+DUU+Haa3XdYSnmzoWLL4abbvLrZn/wAx9kacCASpescM3N/t6ZPNkTzMRgUxMn+vvqqKNgq62Kf78sW+ZTx0yZ4gnotGneQlpVBTvvnGz53GsvGDw4vtcl0ok1NcF778Fzz8Ezz/jy5pv+WHW1X44/aVIyAR05srLlFRHJRslmmSjZlNi8+SZssw38/e/evTGTN97wLo1bb+0n/RpRNR5vvukj+t55JwwZ4l1Iv/Wt9n8d7Lp13i32rrv8x4pPP/Uz1P328+TyyCOzD89Zqvp6P0NOdL19/nkvj5nPZZpo+dxjDy+DfhQRycuSJcnk89ln/TekNWv8sTFjkonnpEmw7bbQrVtFiysiAijZLBslmxKbdes8ubnwQm9tS7d0qbdSrVwJ06eXL4noyqZO9Ws6H37Yj++FF3oLcvfulS5Z0ooVyQF+7r/f3w/9+sGhh3qCedhhubthl8PatX78Et1un302ObHhgAH+Q8rWW/ttYhk5sn0kofX13p/xvff8Ot5Vq7ylOH1pasq8Pt/tqqu9q/awYRveJu4PHqyRgKWF9eu9F3ui5fOZZ/x3JfCqtfvuyQR0t93840BEpK0p2SwTJZsSqy228J+r//GPDdc3NcERR8Cjj3pL1p57VqZ8XcWTT/o1nM8/7yN4/OIXcPzxlRu94733fOTY++7zAaEaGmDjjeGLX/TrL/ffv/21cjc0wEsv+fLGG8ll4cLkNhtttGHymUhIN9kk3iQ0BFi0yI9jpiVx5p5JVdWGS7duLddlWjJtt369l2PFiuzPN3jwhglo+v30df36tY+EXdpMCH4FQGry+frrvr6qyqd2SSSf++yjrrci0jaUbJaJkk2J1ec/7y2YU6duuP788+Gyy3xAm29+szJl62pC8In1LrgAZsyA7beHX/4SDj+8/Cf3a9Z4wvvgg55kJqbEJlhPqAAAIABJREFUGT8+ef3l7rt3zP5zCxdumHwmlsWLk9sMGtSyFXSbbWD48OzHPjEKS6Zkcvbslgneppv63BTpy9ix3jJcVVW+/3Mi6UwsCxdmvk29nxhFJl3Pnt71e8gQT1QHD97wfqZlyBDvRaEktdNYtsx/G3v2WU8+X3gh2bFgwgQfPffAA/3S6kp0fBCRzk/JZpko2ZRYnX22X7O5dGnyRPC227xV7Ywz4E9/qmz5uqLmZvjnP71L7XvvecvzpZf6WVtcQvCEMpFcPvmkd0vt1cuvvzz0UF/Gj4/vOduTELInoUuWJLcbPDjZ+jlmjM81kUgo587dMCHr3t17CmRKKLfYov1fj5sqBE+WW0tOly71Y7V4cfI2db6NdD175k5IBw9OJqVmyQQ8/X5rj2Xbrlcv/z+0txb5TqKx0bvePvGEd4Z46ilYvdoPf11dMvmcNEn/AhGJh5LNMlGyKbH63e/g3HNhwQLvIvfaaz7Ayo47wuOP+wmiVEZDA1x/Pfz85/Dxx3Dwwd7SucsuxcVbvdrPBB94wJfZs319ba0nlocc4gltR0qK4hYCzJ+fTDzffDN5f+lS74abKZkcN85bLjtiy29cQvAW8iVLNlwSyWi2ZfHi5Gg05Wbmk1bW1rZcRo/u2v+/mK1b562djz7qyecLL3hngF69vLvtgQd6ArrzzjrsIlIcJZtlomRTYnX//d5N8+mnfZqKXXf1s4Rp0/w6Nqm8NWvgD3/wbs2LF8Oxx8Ill3hftdaEAO+8k0wu//Of5KBQ+++fbL0cO7ZtXkdHFoL3EezbV11By2HNGk/mFy/2FvYQkktzc+77+WxXX++TTr77bnJJ7erco4fXhUyJ6IgR8f3fm5q8ZfjTT+GTT/w22/3u3f0zeeLE5DJ8eDzlaGMrVvhH0GOP+TJjhq8fOBD23TeZfG65paqYiORHyWaZKNmUWM2aBTU18Ne/etfNxLQSu+1W6ZJJuhUr4Mor4YorvJXyK1/xUYRHj05us2qVt0g/8IB3kZ0719dvtVUyudx7b/VjE0l0pU5NPhPLrFn+w0xCv37+OZkpEU1ckLhyZeuJY2JZsMAT4HQbbeRJ7YgR/kPfiBFen6dO9dF4mpp8u1GjNkw+d9mlQw4HO3++d7RItHwmPqpGjkwmngccoEHQRSQ7JZtlomRTYtXY6C1dgwb5idd11/nUG9J+LVwIv/oVXHONn7SeeaYnnA884BdKrV/vLXAHHJDsHjtmTKVLLdJxNDX59bnpSejMmT5VTWqyOHiwJ6aJ0XFSVVcnE8jUJDL9/ogRrXdfr6+Hl1/2CTATy5w5/lhVlV9TnJqAbrtt+5o+KQ+zZycTz8cf90uDwVs6DzzQO2PstZcPii0iAko2y0bJpsRuyy39ROrss+HqqytdGsnXhx96d9rrrvOT42228cTy0EP9rEzX24rEb/16z4wSCeh770GfPpmTyMGDyzd90cKF3uqZmoAmRlju1csvhkxNQMeO7TD9U5ubvZvtY495Avqf/yRz+S239I+3vff22w70skQkZko2y0TJpsTunHP8hOmuuzrcr+ECzJvnZ2ebb17pkohIpYTgrZ2JxHPqVJg+PTn40uDBycRz55199N/+/ZNLv36epLbDzG39en8pTz3lwws8/bRf4gue2ycSz733hu2204BDIl2Fks0yUbIpIiIiOTU2+kjKqa2fr7+e+ZpR8CwtNQFNTUTzXT9kiPd1LeMPl83NPlD00097AvrUU97RA2DAAJ9eJZGATpyoS9RFOislm2WiZFNERESKUl/vCeiyZT4A0cqVLZdc61ubTzVh8GAfOTexjBix4d+pS48eJb+sDz5Itnw+9ZS/RPDQdXXJ5HPPPX2IAhHp+JRslomSTREREamY9euzJ6eLFvlQs4nl00+T91euzBxv4MDWk9HEYxtvnHcz5ZIl8MwzyQR02jSfutjMx09KdLvdc0/YbLPyXVorIuWjZLNMlGyKiIhIh7NmzYaJaHoymrosX545Rv/+ycRz4403vJ/+96BBn2WRq1f7ZayJbrfPPus5Mnjv4WHDkrsmctzUcIl1w4bF0hArIjFQslkmSjZFRESkU1u71uckTU1IFy702wULksv8+d6amuk61Opqzw4zJKJNQ4czp35jXpk3jE8Xd2fJEli02FiyBBYvMRYvhjXrfLCkwIa3AwYYQ4bA4CEtb4cOhSFD/e++vZupamrwpbmRqqYGrLmRqsYGrNHXWaM/bk1+n4YGv9a2Ie1+6rqmJs+Qq6uTt6n383ks2/bgxzIEv029n2ldMfdbW/LdLnUB3y/9NtO6Qm6rqvyXhe7dk0trf+e7bXW1N7FXVflta0uubTI9Dtn/znW/g8k32axui8KIiIiISAfRqxeMGuVLLk1N3m82kXymJqKpiemsWX5bX083YHy0FGxFtMwpZufiNdKNBrrTRDe60UQ3mqimkSo6f6NNMCNYVYsFs89+BEgmS/bZPol1AcMS67Jtm7reDGtu8h8KGtdT1dRAt6aG8r7IdiL1WCSO7Yqtd2fgjKcrWKrSKNkUERERkeIk+sEOG+bzDedSX59sJV240JPV1lq58mgJa2yE5csCK1ZEt8sDa9dX0VTVnaaq7jRS7bfWnSZL3m+k2m8tuU0DyfWJ+01WTXMwmpu9uImlsRGaG5sJjU00r2+EpuRtaGgkNEYbNUbrGhshWmdN/rg1+WPW1EhzMJqajaZQRVOo8r9D1WfrGpt9XWNz8vHE/aZmozFU0UwVAaOZ5P2A0US3z9ZlWlL3SV9PMCqfUwe60UQP1uP/mYYN7uf6O3G/msboiASqaP7sfrYl1zapjwMbPJb6dz73jQAh+jskH+tevzk/auvDHSMlmyIiIiLSNvr29WXMmNhCVgNDoqXtVUVL+5gnO70nbOLv1rbPFa+1x7L9LlDqYy0XI4TqaMm8TeL15loyPW+ht5nWtdabNt/HMj3ep0/r/6P2ruLJpplVAd8FvgmMARYCtwEXhhDq497fzA4DfgrsAKwDHgN+FEJo4w4ZIiIiIiLxMfPG5sQloCKV1h4Gm/4tcCXwJvAd4HbgHODeKJGMbX8zOwb4N9Ab+CHwG2Af4BkzGxnLqxEREREREZHKtmya2TZ4gnhnCOHYlPVzgN8DJwA3x7G/mXUHrgY+BPYOIayK1j8ATAcuBs6I8eWJiIiIiIh0WZVu2TwRH4rqqrT1fwFWAyfHuP/ngJHAXxOJJkAI4RXgSeD4KCEVERERERGRElU62dwVaAZeTF0ZQlgLvBI9Htf+ifvPZYjzPDAAqM234CIiIiIiIpJdpZPNkcCiEMK6DI/NA4aaWY+Y9h+Zsj7TtgCbZnoSMzvDzKaZ2bSFCxe2UhwRERERERGByiebffARYTNZm7JNHPsnbjNt3+pzhRD+HEKoCyHUDRs2rJXiiIiIiIiICFQ+2VwN9MzyWK+UbeLYP3Gbaft8nktERERERETyVOlk82O8q2umBHBTvIvs+pj2/zhlfaZtIXMXWxERERERESlQpZPNqVEZJqauNLNewI7AtBj3nxrd7pEhzu7ACuDdfAsuIiIiIiIi2VU62bwVCMC5aetPx6+f/EdihZmNM7Otit0fmAJ8ApxmZv1S4u4A7AvcHkJoKPqViIiIiIiIyGeqK/nkIYQZZnYNcLaZ3QncD0wAzsGTw5tTNn8MGI3Pq1nw/iGEBjP7Lp6gPmVmf8GnO/kesBC4qGwvVEREREREpIupaLIZOReYC5wBHA4sAq4GLgwhNMe5fwjhdjNbA/wUuBwfmfYx4LwQgq7XFBERERERiYmFECpdhg6lrq4uTJuW61JSERERERGRzsnMpocQ6nJtV+lrNkVERERERKQTUrIpIiIiIiIisVM32gKZ2ULg/UqXI4Oh+PWqHSl2R4tbztgdLW45Y6vM5Y9bztgdLW45Y6vM5Y9bztgdLW45Y6vM5Y9bztgqc/njljN2OctcitEhhGG5NlKy2UmY2bR8+k23p9gdLW45Y3e0uOWMrTKXP245Y3e0uOWMrTKXP245Y3e0uOWMrTKXP245Y6vM5Y9bztjlLHNbUDdaERERERERiZ2STREREREREYmdks3O488dMHZHi1vO2B0tbjljq8zlj1vO2B0tbjljq8zlj1vO2B0tbjljq8zlj1vO2Cpz+eOWM3Y5y1x2umZTREREREREYqeWTREREREREYmdkk0RERERERGJnZJNERERERERiZ2SzQ7KzH5iZreb2WwzC2Y2N6a4tWb2CzN73swWmtlKM3vFzC4ws74lxN3SzP5hZm+Z2XIzW21mb5vZlWa2SRxlT3muPmY2Jzou/1tirJBlWRVTWQeb2eVmNsvM1kbH/Akz27vIeBe3UuZgZg0llLWfmZ1vZjOi98UiM3vWzL5mZlZs3Cj2cDP7o5l9aGbrzewDM/udmQ3Mc/+C6oOZ7WZmj0avY4WZPWhmO5Ya28wOil7H1Oj/Gcxs31LimlkvMzvdzO42s7lmtiba5xYzm1BieX8V/Q8XmNm66Pj/u9QyZ9n319nqToFlvqGV9/eXSi2vmZ1iZs9E74tVZva6mf2s2DKb2ZgcdTKY2UnFltnMDjWzx8zsUzOrN7N3zD9Thhdb5mhbM7Mzzezl6D23LKonu6dtV9B3hvl3wV1mtjQq71Nmtn+WMuQd28wmmtnvo//dquj1fa2UuNExONnM/mn+Gb3a/LPpHjPbrcTy/sDMnjSzT8zr3ifmn/1Hl3osMuz77ZT32tASytza98t/x1FmMzvc/LN5aXS837W07/ECy5yr7l1QbHnNbI/ovfCReR15z8z+YmZjSz0WZnac+WdzfbTtU2Z2WIbtCjq3sjzrXyFxrYC6V0hsc4XUv0LKnHf9K/QYp+2bte4VUeaC6l97ogGCOigzC8AS4CVgF2BFCGFMDHF/BZwF3AM8DzQA+wFfBl4Ddg8hrCki7gHABVHMj4BGYDvgVGAFsGMIYUGp5Y+e63Lgm0A/4JoQwtklxArAU7QcCawhhHBr8aUEMxsNPImX81rgXWAjYHvgoRDCP4uIuX20f7rtgR8Ck0MIxxQRtwqYAkwCbsT/j32AE4GJwK9DCOcVGjeKvTHwIjAS+BPwOrAt/j98A9gzhLA6R4y864P5yfKTwDwgcRJzNrAxMCmEMKOE2DcA/xW9BgN2BPYLITxZbJnNbCvgLeBp4GHgY2As8C2gL3BICOGJIss7BXgbf+8tBUYAJwMTgK+EEG4q9lik7bcjMBVYi3/v9Cs2bnSMvwqckuHh/4QQPii2vGZ2XRT7Dvw90gRsAQwNIZxWTJmjE8mMCQT+/usNbBpCWFRomc3sdPyzaTrwD6Ae2BX/XP0A2C6EUF/M8TCz/wPOjI7DnXh9PwPYDDg48Z4u5DvDzMbhdb0RuApYDpyO1/dDQwiPppWhkNgXAz/D38/L8M+qU0MIN2R4bXnFNbNewBrgFeA+YA6wSXRcRuJ15O9FlvfWKPabwCJgMHAc/nl6YQjhkmKPRdp+I/HPjyr8u2ZY4r1W5DG+CPheVOZU00MIb5VSZjO7CLgYeAi4H1gNjAK2DyEcVWSZT04/JpGLgXHADiGE14qIewj+nngPuC46HtvgdWQdXvfmFVnm84BfAS/j9Trgn8s7AqeEEP6REjfvc6tC6l+BcS8mz7pXSOwi6l8hZc67/hV7/pqr7hV5nPOuf+1KCEFLB1yAsSn3XwfmxhS3Dtgow/r/h3/gnR3z6zguivujmOLtjFfW70dx/7fEeAG4oUz/w6eAD4FN2uD98qfotRxe5P57RPv/Nm19D2A2sKyEsl0VxT4xbf2J0fqf5hEj7/qAf9muwE/wE+s2jdY9XGLsTYGe0f3/jsq/byllBobgXzjp67fGT2qmFVveLM/XD5gPvFnKsUjZrhueaN6DJy6rSjzGN/hXV16vpZC434j+X6fEHTvL/ok6dXsJZX4H//GhV9r6xOf1UUW+53aM9n+A6EfpaP1A4FP8x4mqaF3e3xnAbXgCv2PKun7A+9FrsbQYhcQeDvSN7n8pevxrWV5fXnGBauBzGbYbjp/szU8ch0LLm6Vc1cCrwEqgW7HHIu3xyXjSclO03dASjvHF0boxeb7HC4l9YLTuZ3HGzbL/ZtH7cGoJ5X0IWJ/heJ4WbXtuke+54fjn+gyge8p23aN1S4ABeRyjFudWFFj/Coibd90rJHah9a+QMmfZLmv9KyZurrpXxHEuqP61p0XdaDuoEMLsMsWdFkJYnuGhRCvetjE/5fvR7aBSA5lZN+AvwIP4L/GxMbMeZtYv95Z5x9sH2AtvEfzEzLqbWZ+44qc9Vx/gBLwl78EiwwyIbj9OXRlCWI9/6Ne32CN/++G/MKa35N6Kt4SdmitAvvXBzMbjLT+3h5RfnaP7twMHmtmIYmIn4oQQ1uW5bV5xQwiLQwivZFj/JslW4ILjtvJ8q4DFZKiTRcY+B0+Mv9PKcxYcN+piNSBqdS8prpkZ8BPgpRC15ppZ/2h9bGVOk2gp/WsJcQcAS0MIa9PWJ+rpBvWygNj7Rbc3hugsJ9p/GXA3UAPsGa3L6zsjauH9IvBk6vs5er/9FajF62ZqefP+PgohzA8prbityTduCKExhDAlw/7z8Z4eG0dLweXNUq5G/HO6L55cFFzmVFGXwC/ivUSasjxnUWWO6l51pseKjH0+sAC4LIrfL1vdjuE85VS8tSm97hUSdwD+/bQ0bdtsdS/f2JPwH3H/EUL47LKX6P7N+OfykRnipNvg3KqY+pdP3ChG3nWvkNiF1r9842bTWv0rNG4+da/Y2FH8nPWvPVGyKfnaLLqdX0oQ8+vPhprZZmb2ebzFDbzLTKm+B2yFd4mM05fw7jwrza9tu9rMNioxZuLaiw/M7F482ao3vz4lW7efYn0Z/2K8PoRQzIceeGvgMuBH5teSjIquNbgM7453cQnl6wmsTT2pBQghNOPHZWymax2KlPgyfS7DY8/jXV93iem5yio6EduEEutkFGuomW1sZjuYXx81gRjqZNRV/BLg5yGE93NtX6Dl0bLGzB6xDNfwFGBLvEvds2b2MzNbjLd0LzO/Bje2H5rAT6TxevkB8EgJoR4CtjazK8xsgpltbmbH4F3apgCPFxm3Z3Sbqft6Yt3uGR5Llf6dsX0UN1vdg/xOdjPFjkshcTfDW7aWlRLX/Lr9YdH/70LgEOCJDD8gFBTbzAbg3bT/FEJ4Mc9YeZUZ7/a5HFhrfl3hoaXEjhKhfYAXgG+Y2Ty8dWmV+fV6La4/LqLMRM9leLK5GrilhLgPAf2BG6PPzU3N7GDgCrzrZL6XwaTHLqru5XFuVVT9K+c5W4mxs9a/QuIWUv/yjVtM3SvwWJRa/9pepZtWtZS+EGM32izxu+EfUA3AliXGOhvvBpBY5gAnxVDGLfBfEs+L/h5DPN1oX8C7Qx4FfAX/Agl4Ze9XQtzJUZwFwDPAScDXo/9lwK93iOv/9xTQDGxRYpy98a42qf+/FaR11Ssi7h1RrB3T1u+Y8jw7FxCvte6BP4jiHZrhscOix84oJnaGbVvtRlts3JR9zori/6KUuHg3qtT/6Wr8i65vqWXGvyhnANXR30+SoRttIXHxa5mujOrMUfg1LEvxE48Di3xfHJlSH5dF/7tjgeuj9U/QShezQv9/JLvsXlTisdgI7xrXmPY/vI6ULnhFHI8jojhXpa03/HrPAPy+ldgtvjOi4xmAb2XYfuvosUvzOHY5v48ooitfPnFTtk18Vvyt1Lh4z5DE/60B72ExrNQyA/8HfELUdZOo+zl5dOXLFhc4F/9s+CreavNDvCWoOd9jneW9sUNK/VuL/3h5NF7Pm/Dr6vrE8f8DDoie6/pSjjGeuP0hKm9q3buPPLq5tnIstovi3JVh+7uix+7J8Fir51bF1r9ccUupe4XGzrf+FRKXAupfvnEpou7lE5sY6l+llg7TBCsVdRX+S9r5IYR3Sox1F34ReT9gJ7zCDCsxJnjlnoN/OcUmhJDeWvI3M3sN+CXw3ei2GP2j25X4ADLrAcxsMn4N5KVmdmPw1r2imdmWeHfdx0IIc0qJBazCT1DvAZ7FL6g/C7jZzI4MIRTbQnMVnjTcZmbnRs+xTbS+Ae/OElcX40ScTF1d16Zt026Z2ST8F/TXgEtLDLcGOAi/XmU0nsT1w49D0V2jzOxE/FfivYJ3T4pFCOHHaavuMrOb8UEk/g/v4lmoRH0cBhwUkgNl3BG1hHwVfy0PFBE7k9PwE4TrS4zTgLeOTgbuxX8oOBj/4aoJH/yjGA/gJ/jfNrOPSQ4Q9H2S3f1aqyeZvjPiqntxfh8VHNfMavBrsObhP16VGvcYoBd+vfdx+IBRA4CFxcaOPh++iZ+sZuq6WVTcEMJV6RuaD6r1OvBbM/tX8G6ZhcZOrX+nhxAS3Vsnm9kK/Aelr+L1u6AyZ5Dovn5tjnLmituEvwcexevfErxr+XeAf0bfiblGf28RO4Qww8weAY40s1+T/Iz4GpBowcpUT3KdWxVb/8p1zlZU7DzrXyFxC6l/OeOWUPdyxo6p/lVGpbNdLaUvlLFlE+8CF/DuAOWIvz3+4feTEmKcjJ+47ZWybgwxtGxmeb7uUZmfLSHGvVH5/l+Gx26MHpsQQ1l/HcU6ocQ42+FJyZlp6/vgyfFc8rigvpX4x+G/BCZ+1WsE/oif5AZ8NMJ8Y3Xqlk28m+/S6LhvGlfclH264a3hGwxQUeBxHox3C/tL2vonKbFls5X9ro+Od20R5U386v9Rhsf2ix77n5j+f4lWhAdLeV/gl8H8B//hJ31gnV9Fz1FUS2/0+Ci8RTf11/ZXSQ6+dmWW/TJ+ZxBDy2a22Bm2K6hls4C4W+DJ/SJ8tNFY4qbtcwv+WTiomNj49X5vkDbYGXm2bBZZ5ouifT5fZJl3idY3EQ2wlnbMA3BrDP+/QXhi9Vap7wvg7/hncJ+09WdG+5xWQuxBeI+f5pS6N4fk4EN35lH2Dc6t4qh/meJmeLyUAYJyxS6o/uUbN23bvOpflmNcUt0rocx51b9KLrpmU7IyH2b5p/hJ3JnleI7gQ46/DHy7mP3NrCfemnk/8KmZjTcfBGZ0tMlG0bq85mvMR/BfKz8GSrmO8KPo9tMMj30S3ZY0aFJ08fhX8F9cJ5cSC78ethfexeQzwackuQ8/3mOKDR5CuB2/BmMn/NqdkSGEM6N1jcCsYmOnSQzesGmGxxLr5mV4rF0ws53xa/yW4y3isZc1+HW9/8BbsPYpMsxF+CALf0nUyahe9sYvmxpvZpvHU+LPzI1ui6mXZa+PKb4R3f611a1y2wvv2n5HiM44UiTq6eeKDR5C+CCEsB9etz8HbBtC2IFkK8jb6fvk+M4oqe6V6/so37hmNgZPvvvhrd8zsm1bSNwMbsSnIMo6RVWO2GfhYxdcmVb3Eq2HW1iGeSBLLPPc6DZr3csRO1H/loaWA6y1Wv8KLPPJePfXnK2arcU1s1F4D5D7QstpuXLWvVxlDiEsDSEci1+Tvw8+yv44knWoRd3LECP93CqW775Sz9mKjV1o/cs3bgY5618rcYuueyWWeW50G9fYFrFTN1rJyHy+q4uAv+G/0KWfzMSpN94SUuy+w4DDoyXdydHyQ+DyIp9jA+ZzP21G8qL6YryIf8lsluGxxLpS5x09Ah8i/HcZvsALlfgy6pbhseq026JESc5no+SZjwq7EzAlwxd6saZGt3vQ8mR/d/zXwekxPVeszGwnPNFMdL2Oe8CdVL2j22Lr5Wg82Xwhy+Mz8V+A4xzdOtF9tphBY2bgLfeZTsTiqo+YWXd8ftCF+KiupSh7nQRPOvHWhITD8BaXh1K3y+M7Ywb+S/0eGZ4mMeDJtExlKNf3Ub5xzQe6egK/RvbAEMLLccTNotW6l0fs0Xird7Yu3y/i3ePT57otpcyt1r1csUMI883sA2BzM+uT9nmftf4VUeZv4F3P/9baRnnELbruFVLm4KOuzk/ZNzGwYL6D86SeWxVd/3LEjVuL2IXWv3zjtrIdeW6bHreoupdn7NaU8t3XNirdtKql9IWYu9ECFxJdfE0ecxjlGXNElvX74V1nHisybne820b68q3oNTwQ/Z2xa12O2EOyrP9NFLvouUHxX2lX4L/o9ktZvwl+beS7MRzzf0flzLu7SSuxfpvpNePz7n2Mt55Wx/gerMIHPmnGE6tC9s3VPXBqdOxHpqwbGa17tJTYadvG1o0WT7oX4yf9Y/N5/lxxo/dgjwzr+0b7NQGji4y9R5Z6+Qae1H0J/3W60Lh9SZtTMuX4rCPD3KAFHOO/R/+vo9PWJwawmlTq+4JkF7MrYvj/JQZVeZW07s74tW0BOCaO93LKPl+M4t6Qtj6v7wy81acJ2CFlXWKev3fJMAhTvrGzHOevtbJNvmUejXdhXAbsmsdz54wbvY9bDDCHJy+PRvvvXWTsHbLUvSeifU+l5fyr+cStJvM8kZvjn02LgN4lHOfEfJPfS1t/RbT+v0p5X+DzXAa8J0Cp/7/BeI+bj4GBaY+dF+3//Tjey2nlX4tPXZK6Pu9zq0LqXyFxi6h7hZQ57/qXb9xC618BcYupe/nGLqr+tZfFosJKB2Nmp5DsKvodvK/4FdHf74dorrgi4p6FD9n8AT58fvoANfNDEQPBRAPfbIIPxf8+3iVzF3z+x9X4CXmLuQSLFXW5mANcE0IoaioUM/st/ovfE/jx6If/qr8f3mKzXwhhTQllPAMfWewNfPTIHniSvAnwhRDCwyXEHhmVeXpoOchRMfFG46NQDsK7WD6Df+GejnefPSuE8IciY/fDf/GbjP/PNgJOxN8fF4QQcg6AU0h9iC7gfwJP9K9O2Wc4sGcI4dUSYm+Pn5CDDxZxCP6/nROtuzpEgwbkGzc69tPx4/1z4L0Mh2ByiOY5KyDuUfj77w68m/JK/JqYU/DWhJ+HEC4u9lhkYmZPAnUhhPRWlXzLvCP+A9KHajkOAAAHh0lEQVRdeOtoPf4F/3X8s+rzIYSniylv1DXuRfz9dzXeNekwvMfE30IIXy31WJjZA/h7YusQwltZjlEhZf4Xfi3Wa3iynBgg6Ai858VeIWW6owJjX4uPPvsK/gPBXnjXwZfwHwoS7+O8vzOiLmUv4q1Lv8V/4Dkdvyb88BBCemtpIbFH4+9d8AHGTsCv+U60gtwUot4A+cY1s/54Mr8F/p7INI3BI8FboAqJuyM+Nc2/8BG+l+CtZSfi0/DcGEL4WrHHIhMzuwEfZGdYCGFRoXGjS1Hm4HXvLfy68S3x6wj7AScGvxyiqDKbTxfxAj7f45/x4554zz2O1+2mYo+Fmf0f3pvosBBCxpanAst7OT4GwFx8fu/EAEEn4ddy7hxCWFFk7Evw1qoX8UsmdsY/4z7Gz5U+TImb97lVIfWvwLh5171CYhdR//KNW1D9K/X8NVvdK7DMBde/dqXS2a6W4hZ8oI2QZXmyhLg3tBK36Nj4nHL3AR/iv86twa87uBoYVYbjM4YSBwjCp0N4CL+OYS1+YvsKPvl0i9aVIp/jGPyksB4/2X8YT3hKjXt+9PpPj/GYjsOvZ/gI/7JagQ9QkrX1JM+4PfApZeZEx3lJdNwPLiBGQfUBb3l7DG9FXhk9X8bpVQqJjY8Y2Fr9GVNoXGDfHDGLjTsOv3bpLfyEpgG/ZvFe/MSj5OOcZf8WAwQVUOYR+EiEb0fvv8RorDcCW8XwvhiD/5iyEJ9K5S28hbpFK0QRsTfDf6l+Jq73Ml53foSfkK3BW3ffxUcobjF1TYGxv4knlsuj2DPwz5Xeadvd0ErMTHEn4F2Il+EnU0+TZSCjQmKTu57sW2hckt8jcccdClwT/d+W4O/jRXg3+ZPI3MJb0HFuZf+hxcTFr3X8a/Q+WBqV+RP8hH1iqf+/lOPyf3hStR5P2n5J2vdtEXF74++3D2m9dTXvuPgPMafjCfKq6HjMjf6vLabOKDD2MfiUKEvw78R3gf8hrRU12ragcyvyrH+FxKWAuldIbAqvf/nGLaj+FXqM8617BZa54PrXnha1bIqIiIiIiEjsNBqtiIiIiIiIxE7JpoiIiIiIiMROyaaIiIiIiIjETsmmiIiIiIiIxE7JpoiIiIiIiMROyaaIiIiIiIjETsmmiIiIiIiIxE7JpoiISCdnZk+a2dxKl0NERLoWJZsiIiJFMLN9zSy0sjRWuowiIiKVVF3pAoiIiHRwtwD3Z1jf3NYFERERaU+UbIqIiJTmpRDC3ytdCBERkfZG3WhFRETKyMzGRN1qLzazE83sNTNba2YfROta/PBrZtub2WQzWxxt+6aZ/cjMumXYdoSZ/d7MZpvZOjNbYGaPmNlBGbYdaWa3mNlSM6s3s4fMrDZtm15Rud4xs9VmtszMZpjZb+I9MiIi0tmpZVNERKQ0fcxsaIb160MIK1L+PgI4F7gG+BT4InARMBo4NbGRmdUBU4CGlG2PAP4H2AE4KWXbMcAzwHDgb8A0oC+wO3Ag8EjK8/cF/gM8D5wPbAF8F7jbzLYNITRF210DfD2K91ugG1AD7J/3EREREQEshFDpMoiIiHQ4ZrYv8EQrm9wXQvhClBDOwa/h3DWE8FK0vwF3AkcBe4QQno/WPwPsBuwcQngtZdtbgeOAA0MIj0Xr7wcOBQ4JITyUVr6qEEJzdP9J4HPAeSGEX6ds80Pg16n7m9kS4PkQwmHFHRkRERGnbrQiIiKl+TNwUIblgrTtHkkkmgDBf+1NJH5HA5jZxsAk4J5Eopmy7aVp2w4GDgEeTE80o33SByhqBn6ftu7x6LYmZd1yYBsz2zbL6xUREcmLutGKiIiUZmYI4dE8tnsrw7o3o9ux0e0W0e0bWbZtTtl2PGDAy3mW8+MQwtq0dYuj2yEp684FbgJmmNlsvPX2XuDeDAmsiIhIVmrZFBERaRv5XLdiBcRLbJvv9TBNrTz22fOGEO4GxgCn4C2fBwB3AU+aWY8CyiciIl2ckk0REZG2sXUr62an3W6TYdut8O/txDYz8URzp7gKmBBCWBJC+HsI4XS8JfXXwN7AkXE/l4iIdF5KNkVERNrGQWa2c+KPaNCfH0V/3gUQQlgAPAsckXrNZLTtT6I/J0fbLgEeAA41swPTnyzapyBm1s3MBqaui64XTXTVHVxoTBER6bp0zaaIiEhpdjazk7M8dlfK/VeBx83sGuATvJXwQOCmEMJzKdt9F5/65Klo20+BLwAHAzcnRqKNnI0npw+Y2Y3AdKA3PprtXOC8Al9Lf+ATM7sHTzAX4NeRfgtYil+7KSIikhclmyIiIqU5MVoyqQEao/v3AO/gLZRb4oncJdHymRDCNDObBPwc+DY+P+ZsPHG8Im3bOdG8nD8DDgO+gieFr+Kj5BZqNXAVfp3mgUA/PDG+B7gshPBxETFFRKSL0jybIiIiZZQyz+bPQwgXV7QwIiIibUjXbIqIiIiIiEjslGyKiIiIiIhI7JRsioiIiIiISOx0zaaIiIiIiIjETi2bIiIiIiIiEjslmyIiIiIiIhI7JZsiIiIiIiISOyWbIiIiIiIiEjslmyIiIiIiIhK7/w/TWZmKRnidrAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画出训练集和验证集的误差图像\n",
    "\n",
    "mae = history_dict['mean_absolute_error']\n",
    "vmae = history_dict['val_mean_absolute_error']\n",
    "epochs = range(1, len(mae) + 1)\n",
    "plt.plot(epochs, mae, 'b',color = 'blue', label='Training error')\n",
    "plt.plot(epochs, vmae, 'b',color='red', label='Validation error')\n",
    "plt.title('Training and validation error')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Error')\n",
    "plt.legend()\n",
    "plt.xticks(epochs)\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(15,7)\n",
    "#fig.savefig('img/tcstest&validationerrorcnn.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['loss', 'mean_absolute_error']"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.metrics_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "trainScore = model.evaluate(x_train, y_train, verbose=0)\n",
    "testScore = model.evaluate(x_test, y_test, verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "#predicting values for y_test\n",
    "p = model.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(p,color='red', label='prediction')\n",
    "plt.plot(y_test,color='blue', label='y_test')\n",
    "plt.xlabel('No. of Trading Days')\n",
    "plt.ylabel('Close Value (scaled)')\n",
    "plt.legend(loc='upper left')\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(15, 5)\n",
    "#fig.savefig('img/tcstestcnn.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "p1= model.predict(x_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(p1[:848],color='red', label='prediction on training samples')\n",
    "x = np.array(range(848,1060))\n",
    "plt.plot(x,p1[848:],color = 'magenta',label ='prediction on validating samples')\n",
    "plt.plot(y_train,color='blue', label='y_train')\n",
    "plt.xlabel('No. of Trading Days')\n",
    "plt.ylabel('Close Value (scaled)')\n",
    "plt.legend(loc='upper left')\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(20,10)\n",
    "#fig.savefig('img/tcstraincnn.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = y_test * 10000   # 原始数据经过除以10000进行缩放，因此乘以10000,返回到原始数据规模\n",
    "y_pred = p.reshape(265)  # 测试集数据大小为265\n",
    "y_pred = y_pred * 10000   # 原始数据经过除以10000进行缩放，因此乘以10000,返回到原始数据规模"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_absolute_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Trainscore RMSE \tTrain Mean abs Error \tTestscore Rmse \t Test Mean abs Error\n",
      "0.006079725 \t\t 0.004680880 \t\t 0.013021271 \t\t 0.008868638\n"
     ]
    }
   ],
   "source": [
    "print('Trainscore RMSE \\tTrain Mean abs Error \\tTestscore Rmse \\t Test Mean abs Error')\n",
    "print('%.9f \\t\\t %.9f \\t\\t %.9f \\t\\t %.9f' % (math.sqrt(trainScore[0]),trainScore[1],math.sqrt(testScore[0]),testScore[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean absolute error \t mean absolute percentage error\n",
      " 88.686383955 \t\t\t 3.012887750\n"
     ]
    }
   ],
   "source": [
    "print('mean absolute error \\t mean absolute percentage error')\n",
    "print(' %.9f \\t\\t\\t %.9f' % (mean_absolute_error(y,y_pred),(np.mean(np.abs((y - y_pred) / y)) * 100)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Y = np.concatenate((y_train,y_test),axis = 0)\n",
    "P = np.concatenate((p1,p),axis = 0)\n",
    "#plotting the complete Y set with predicted values on x_train and x_test(variable p1 & p respectively given above)\n",
    "#for \n",
    "plt.plot(P[:848],color='red', label='prediction on training samples')\n",
    "#for validating samples\n",
    "z = np.array(range(848,1060))\n",
    "plt.plot(z,P[848:1060],color = 'black',label ='prediction on validating samples')\n",
    "#for testing samples\n",
    "x = np.array(range(1060,1325))\n",
    "plt.plot(x,P[1060:],color = 'green',label ='prediction on testing samples(x_test)')\n",
    "\n",
    "plt.plot(Y,color='blue', label='Y')\n",
    "plt.legend(loc='upper left')\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(20,12)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
